Amelia Jones
Principal Consultant | Data Science and Operations
- amelia@intelletec.com
- (424) 666-7042
- Connect with Amelia
- West Coast, USA
Amelia is based in the LA office, working as a Senior Recruiter, heading up Data Science recruitment and all Non-Tech roles across the United States.
Before joining the team, Amelia had 5 years of recruitment experience across EMEA, APAC & The Americas, working across finance, legal, compliance & operations.
Amelia is a social butterfly and loves to see friends, explore LA and visit the many restaurants here as well as staying fit with yoga and hiking.
Amelia Jones's Jobs
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Data Scientist | Data Strategy & Insights
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New York
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Intelletec has partnered with a successful Series C subscription service for freshly-made dog food, with total funding of over $100M. They are looking for a Data Scientist to join The Data Strategy and Insights team. As a Data Scientist specializing in Forecasting and Optimization, you will leverage diverse datasets alongside your strong math skills to deepen and broaden the insights provided through our data as they relate to customer needs, experience, and behaviors. This role is based in NYC (hybrid model) and reports to the Head of Data Strategy and Insights. RESPONSIBILITIES Create predictive models that the group can leverage into prescriptive insights Help drive life-long retention by unearthing customer pain points and informing solutions. Leverage myriad data sources to help friction points people encounter in deciding to try the product. Work closely with the Growth Department. Work with operations to help optimize fulfillment across different regions. Provide insights to CX / Customer Service Department on which issues most deeply affect customers. SKILLS 2 - 5 years of industry experience in a non-internship role, where your insights have influenced the decision-making. You have worked with business stakeholders before, and understand how to turn data into actionable insights You are extremely comfortable with R Experience with Bayesian methods, time-series forecasting & optimization problems You love dogs You prefer to work with a team rather than working alone ON OFFER Brand new dog-friendly office in New York (upon a safe return-to-office!) Market-competitive compensation and equity packages Comprehensive Healthcare, Dental, and Vision 12 week paid parental leave Flexible PTO and (when in office) WFH policy Discounted fresh food for your pup
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Lead Data Scientist/Data Science Manager | FinTech
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New York
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Intelletec has partnered with a leading fintech lending platform that leverages cutting-edge data science to provide small to medium businesses with accelerated access to capital solutions. They are looking for a Lead Data Scientist/Data Science Manager. The Data Scientist role will report to the Chief Data and Analytics Officer and will be responsible for leading the development and implementation of Machine Learning and Artificial Intelligence solutions to drive efficiency and improved performance across all aspects of the business. RESPONSIBILITIES: Collaborate with the business to execute on identified opportunities for deploying machine learning and AI solutions to drive revenue and cost savings. Balance leading and directly contributing to the framing, data preparation, development, and documentation of ML and AI models and solutions. Effectively lead 2 to 4 domestic and/or off-shore individual contributors. Support the efforts of the Chief Data and Analytics Officer to ensure data and solutions are trusted by helping to champion high standards, transparency, and regular communication with the business. Explore and test additional data sources that may add value. SKILLS NEEDED: Bachelor’s degree in a quantitative field such as computer science, statistics, or physics. 5+ years of experience as a data scientist including leading the development of machine learning models and implementing them into production. Experience successfully leading a team of Data Scientists Working knowledge of Python, SQL, and open-source machine learning packages, like xgboost. Experience with or desire to learn new automated machine learning and related software. ON OFFER: Competitive salaries and benefits Opportunities for professional growth, in an intellectually stimulating and fast-paced environment Work for one of Crain’s 50 fastest growing companies in New York Hybrid office/remote model
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Senior Data Scientist | Clinical Trials
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Texas
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Intelletec has partnered with a Leading Healthcare company, they are looking for a Senior Data Scientist, to be part of a new group that is partnering with leading biopharma clients to improve and advance clinical research for drug and vaccine development. The Senior Data Scientist will develop various data science models and build feature banks for an industry-leading patient recruitment and engagement platform product. RESPONSIBILITIES: • Translate business problems to applicable data science problems • Prepare data for the analysis, create modeling dataset, assess completeness and quality of data and perform feature engineering • Develop machine learning, statistical or optimization models considering the latest development in research and tech community • Create end-to-end pipeline and solutions • Work with data engineering team to scale and productionalize machine learning model in Clinical Recruitment Platform (CRP) • Work with business partners to design implementation and measurement approach SKILLS: 3+ years of data science experience in a business setting including collaborating with business partners to understand problems gather business requirements, design data science models • Translate complex business problems into analytical and modeling problems, design and implement machine learning and optimization model and quality check results and link them to business insights • Write scalable, production level code • Communicate well with business partners and collaborate with data engineering team • Understand the impact and value of machine learning and optimization model in the Clinical Recruitment Platform and product offering and come up with innovative ways to expand current functionality • Operate in a complex, cross-functional organization or company where your teams need to collaborate and integrate with other business and IT teams • Common modeling tools and frameworks, e.g., Python, R, Scala, TensorFlow, etc.
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MACHINE LEARNING SCIENTIST | BIOTECH
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San Francisco
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Intelletec has partnered with a BioTech company, revolutionizing drug discovery for brain disorders. Founded by professors from Columbia University, UCSF, and experienced technologists, they are combining biotechnology, neuroscience, robotics, and machine learning techniques. They are looking for a Machine Learning Scientist to join the team in building a world-class high-throughput bioscience data processing platform that includes image processing, video analysis, multi-modal data integration, feature extraction, Bayesian modeling, sequence modeling, and deep learning for classification and regression. This role is as a core member of the machine learning team. You’ll participate in team-wide projects and lead the design and delivery of independent initiatives. Responsibilities: Design and implement data preprocessing, integration, and analysis solutions Mentor and cross-train with other ML scientists through academic-style discussions Collaborate with Biology team to understand and interpret data Partner with Platform Software Engineering team to build and deploy production analysis tools Candidates must have: Demonstrated machine learning expertise MS or Ph.D., or equivalent, in a quantitative field, e.g., physics, math, computer science, theoretical neuroscience 2+ years of industry experience Python fluency; strong programming practices Facility with scientific computing tools: NumPy, SciPy, TensorFlow/PyTorch, or equivalents Ability to deal well with ambiguity and act with autonomy Initiative, curiosity, a bias for action, and a problem-solving attitude A deep desire to learn High personal standards of reliability and a track record of driving projects to completion Experience with deep learning, Bayesian modeling, computer vision, supervised and unsupervised learning techniques Track record of working on challenging biological problems and manipulating biological data sets (e.g., microscopy, gene expression, genomics) They offer competitive salaries and benefits, and opportunities for professional growth, in an intellectually stimulating and fast-paced environment.
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Senior Manager of Technical Accounting and SEC Reporting
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San Francisco
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Intelletec has partnered with a Series D, Restuarant Tech Company, they are looking to bring in a Sr. Manager, of SEC, and Technical Accounting, as they enter a new growth and execution phase. The Company has developed a product that has made a huge impact on the restaurant industry by offering innovative, enterprise-grade technologies. Their platform is focused on driving operational efficiency to enhance guest experience and the platform includes powerful solutions for guests, staff, and managers. As Senior Manager of Technical Accounting and SEC Reporting, you will play a critical role in all aspects of accounting and reporting. Responsibilities: Ensure compliance with all accounting requirements under US GAAP, including the adoption and application of new accounting standards and establishment of global accounting policies Partner with investor relations and other business units to complete external SEC filings and earnings release materials Subject matter expert in all technical accounting matters, including drafting parts of Audit Committee presentations The individual will work closely to partner with the business units, especially sales around rev rec, to ensure a deep understanding of business activities and results, address accounting and finance related issues and developments, and will have close interaction with the financial reporting leadership team Perform technical research and consult with management and the external auditors to ensure proper accounting treatment is applied and documented for all transactions Skills: CPA with a bachelor’s degree in Accounting Minimum experience of 5 years with one of the Big 4 accounting firms and/or commercial experience at the Sr Accountant or Manager level with a strong track record of technical accounting and research Demonstrated experience with a couple of the following…606 revenue accounting, lease accounting, notes & warrant accounting, accounting for new financial instruments, merger accounting & consolidated reporting Strong Microsoft Excel Skills Strong US GAAP application, interpretation, and accounting skills required with the ability to convert technical research and interpretation into a practical solution Compensation Competitive compensation, benefits, equity
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Lead Data Scientist | Clinical Trials
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Boston
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Intelletec has partnered with a Leading Healthcare company, they are looking for a Lead Data Scientist, to be part of a new group that is partnering with leading biopharma clients to improve and advance clinical research for drug and vaccine development. RESPONSIBILITIES Develops complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Performs analyses of structured and unstructured data to solve multiple and complex business problems Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques Manages large and complex analytical projects from data exploration, model building, performance evaluation, and testing Behaves as a mentor to junior team members to provide technical advice SKILLS NEEDED Master’s degree or Ph.D. preferred 6+ years of relevant analytic experience within healthcare or clinical trials Experience using Python, SAS, & SQL Experience with marketing analytics, patient recruitment and campaign design/optimization work Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas Strong skills to effectively communicate and negotiate across business and in the external health care environment Excellent analytical and problem-solving skills Strong organizational, management, and leadership skills Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources Solid understanding of the health care industry, products, and systems Demonstrates a strong ability to communicate technical concepts and implications to business partners ON OFFER: Very competitive pay, bonus, full medical, dental & vision benefits, and more A tight-knit team of passionate people and a tech-first business Autonomy and end-to-end ownership Opportunity for fast growth & promotion
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ML Platform Engineer | Cybersecurity Startup
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San Francisco
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Intelletec has partnered with a rapidly expanding, revenue-generating CyberSecurity startup. They are looking for an experienced ML Platform Engineer to help build scalable production systems to improve the capacity and speed on how they develop and deploy their language models. You will directly contribute to the core product by improving existing algorithms that highly scale in the production environment. Responsibilities: Develop distributed training infrastructure for faster training of models. Efficiently deploy ML models into production. Create automation pipelines for continuous training, evaluation, and deployment of models. Create the interfaces, infrastructure, and clusters to process data efficiently. Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation. Collaborate with data scientists and software engineers to create and deploy new product features. Requirements: 4+ years of relevant work experience automating ML pipelines and deploying ML models in production environments. Experience designing and building systems in a microservices-based architecture Experience working with extremely large datasets, including collecting and preparing data, as well as training and inferencing models. Experience with deploying ML models as a web service and building scalable machine learning systems spanning multiple teams or organizations Strong foundations in ML/NLP methods and algorithms Extensive experience with ML deployment frameworks Familiarity with containerized applications, databases, and distributed computing On offer: Highly competitive compensation package Fully remote role Unlimited PTO Wellness & Professional development budget #LI-AJ1 #LI-Remote
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Senior Data Scientist | Remote
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Boston
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Intelletec has partnered with the largest online insurance marketplace in the US. They are building out their Analytics team and improving the way consumers shop. They are looking for a Senior Data Scientist to deliver and deploy artificial intelligence and machine learning models that drive long-term success. RESPONSIBILITIES: Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will establish yourself as a technical leader and a valued team member as our team continues to grow. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. SKILLS: Bachelor’s degree in a technical field such as mathematics, statistics, computer science or economics; Master’s degree or PhD in a relevant field preferred. 3+ years of professional experience as a data scientist including experience developing and releasing predictive models to production Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits Demonstrated performance in building machine learning models using standard tools, such as, scikit-learn or R, to drive business improvements Strong skills in statistical and scientific programming in Python or R, fluent in SQL, proficient with Jupyter notebooks PERKS: Highly competitive compensation package Fully remote role Unlimited PTO Wellness & Professional development budget #LI-AJ1 #LI-Remote
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Machine Learning Engineer (remote)
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San Francisco
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Machine Learning Engineer (remote) Intelletec has partnered with an SF-based startup, building the next-generation data toolchain for ML developers. Founded by engineers from Google and Uber they are growing fast! As a Machine Learning Engineer, you will empower ML teams to inspect their data, find errors and fix them all within a low latency, highly scalable platform laden with tools based on the latest data-centric ML research. Responsibilities: As an early engineer joining the team, you will work alongside leading industry and academic experts to play a foundational role in designing, building, and scaling our products and team. You will be an exceptional Senior Machine Learning Engineer, interested in solving complex problems at the intersection of Data and ML. Skills: 3+ years of experience building ML products Ideally startup experience Masters or Ph.D. preferred Experience building, testing, and experimenting with ML models using unstructured data. Excellent communication skills. Hands-on experience with popular ML frameworks (like PyTorch, TensorFlow, Keras). Extensive experience with git and GitHub – it’s almost second nature for you. Bonus: Experience working with ML-related services in AWS, Google Cloud, or Microsoft Azure. #LI-AJ1 #LI-Remote
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Senior Machine Learning Engineer | SF Based Startup (remote)
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San Francisco
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Senior Machine Learning Engineer (remote) Intelletec has partnered with an SF-based startup, building the next-generation data toolchain for ML developers. Founded by engineers from Google and Uber they are growing fast! As a Senior Machine Learning Engineer, you will empower ML teams to inspect their data, find errors and fix them all within a low latency, highly scalable platform laden with tools based on the latest data-centric ML research. Responsibilities: As an early engineer joining the team, you will work alongside leading industry and academic experts to play a foundational role in designing, building, and scaling our products and team. You will be an exceptional Senior Machine Learning Engineer, interested in solving complex problems at the intersection of Data and ML. Skills: 5+ years of experience building ML products Ideally startup experience Masters or Ph.D. preferred Experience building, testing, and experimenting with ML models using unstructured data. Excellent communication skills. Hands-on experience with popular ML frameworks (like PyTorch, TensorFlow, Keras). Extensive experience with git and GitHub – it’s almost second nature for you. Bonus: Experience working with ML-related services in AWS, Google Cloud, or Microsoft Azure. #LI-AJ1 #LI-Remote
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Founding Data Scientist
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San Francisco
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Intelletec has partnered with an early-stage SF-based company working within the rapidly growing, $200 billion creator economy market. They are looking for their Founding Data Scientist to build the Data team from the ground up. You will help creators build their online identity, gain insights about their audience, and better understand how to build and improve their businesses. RESPONSIBILITIES: You will leverage data to figure out what kinds of tools work for what kinds of content creators, directly informing product strategy. Building and maintaining the core data infrastructure (i.e. which tools and how they synergize) Deciding the what, how, and why of the data Frameworks for cleaning and visualizing data Creating a data-driven culture (and team!) where the success of major product/growth decisions can be robustly quantified with data SKILLS: A SQL and Python whiz 5+ years of experience working with a consumer-led product Proactively explores models to better understand users and product via data Familiar with designing thoughtful and high-impact experiments Experience leading and personally executing cross-functional data science projects with measurable organizational and product impact ON OFFER: A competitive salary, amazing benefits, and stock in an early-stage, high-growth startup A team that values you, supports your growth and treats you as a domain expert Remote work available Platinum level medical, vision, and dental insurance with 99% employer-paid premiums for employees and coverage for eligible dependents 401(k) retirement savings and investing plan Monthly gym stipend Home office setup reimbursement #LI-AJ1 #LI-Remote
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Director of Data Science | Healthcare
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New York
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Intelletec has partnered with a Leading Healthcare company, looking for a Director of Data Science to help transform health care through innovations that make quality care more accessible, easier to use, less expensive, and patient-focused. You will join the Digital Product Analytics team, to help drive the exciting Rewards and Loyalty programs and products, working cross-functionally with multiple stakeholders to design, develop, implement, and optimize large complex programs in support of ambitious business goals. You will have an opportunity to directly influence Members’ experiences, learn rapidly through rigorous experiment design, and make decisions based on data-driven insights and analysis. RESPONSIBILITIES: • Manage and lead analytics team(s) for one or more product areas. • Leads the development of solutions with high complexity, risk, and pressure with business area implications • Structure data analysis, driving analytics insights and analytical solutions • Translate business problems into analytical solutions • Present recommendations to senior staff and internal clients (up to SVP level) • Lead multiple large cross-functional project teams • Strategize and plan for growth while maintaining and continuously improving existing programs • Think about how to best grow the team and create a collaborative culture • Autonomously leads the client relationship with senior business leaders as their single point of contact SKILLS: • Master’s degree in a quantitative field strongly preferred. • 5+ years of people management experience • 7+ years’ experience strategy consulting or on strategy teams in large companies • 7+ years of business experience leading analyses and initiatives with a track record of business impact • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources • Healthcare sector experience preferred; bonus if the experience is with Medicare programs • Demonstrates a strong ability to communicate technical concepts and implications to business partners • End to end product development cycle • Demonstrates a strong ability to communicate technical concepts and implications to business partners ON OFFER: • Very competitive pay, bonus, full medical, dental & vision benefits, and more • A tight-knit team of passionate people and a tech-first business • Autonomy and end-to-end ownership • Opportunity for fast growth & promotion
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Lead Data Scientist | SaaS
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San Francisco
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Intelletec has partnered with a Series B SaaS company, they are looking for a Senior or Lead Data Scientist to build out the Data Science processes & frameworks. This is a great opportunity to have a significant impact at a high-growth startup, and build a beloved B2B brand. As a Sr. Data Scientist, you'll have the opportunity to dive into large datasets to guide decision-making. We tackle a wide range of exciting challenges including sales forecasting, lead scoring, operational optimization, product launches, and more. RESPONSIBILITIES: Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools Produce recommendations and use statistical techniques and hypothesis testing to validate your findings. Provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress Collaborate with engineering to implement, document, validate, and monitor our evolving data infrastructure SKILLS: Degree in Analytics, Data Science, Economics, Statistics or a related field Experience in analytics, statistician, data scientist, or consultant role Ability to work on large databases and synthesize into useful reports and dashboards Strong proficiency in SQL, R/Python, Tableau, Mode, other Business Intelligence tools Ability to deliver actionable insights by synthesizing data into useful formats, and influence through logic, interpretation of data and effective communication. Ability to manage and influence senior, cross-functional stakeholders Strong business communication skills, both verbal and written Familiarity with SaaS Enterprise systems and SaaS business operations a plus Organized, attentive to detail, and intellectually curious PERKS: Competitive salary & equity. 100% covered health, dental, and vision plans. Equipment, home office, learning & development budget Unlimited PTO, sick leave, and parental leave. Match 100% of the first 2% of your 401(k) contribution.
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Machine Learning Engineer (remote) | High Growth Startup
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San Francisco
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Intelletec has partnered with an early-stage SF-based company working within the rapidly growing, $200 billion creator economy market. They are looking for a Machine Learning Engineer to drive progress with all things ML. You will help creators build their online identity, gain insights about their audience, and better understand how to build and improve their businesses, working directly with a founding team of Stanford ML PhDs. RESPONSIBILITIES: You will leverage data to figure out what kinds of tools work for what kinds of content creators, directly informing product strategy. Build, organize, and maintain ML training and testing infrastructure: Pipelines for cleaning raw data (from SQL, DWH, NoSQL) in preparation for training ML models A process for deploying ML models to production in a cost-effective manner A meaningful way to quantitatively represent our users so that we can figure out which features/qualities are most important and predictive of creator success The ULTIMATE recommendation engine for creators help them run more successful businesses SKILLS: Fluent in Python (pytorch, tensorflow, scikit-learn) and SQL Constantly thinking about how ML fits into the bigger picture — how it touches the product and the end user Has experience carrying out ML projects from conception to deployment A graduate degree in ML, statistics, math, or related field 3+ years of product experience (negotiable) Entrepreneurial and eager about exploring new opportunities created by ML (non-negotiable) Interested in or passionate about the creator economy ON OFFER: A competitive salary, amazing benefits, and stock in an early-stage, high-growth startup A team that values you, supports your growth, and treats you as a domain expert Remote work available Platinum level medical, vision, and dental insurance with 99% employer-paid premiums for employees and coverage for eligible dependents 401(k) retirement savings and investing plan Monthly gym stipend Home office setup reimbursement
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Senior Product Manager | Data Platform
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Los Angeles
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Intelletec has partnered with one of the “Hottest Ad Tech Companies” in the industry. They are looking for a Senior Product Manager to join the talented team of leaders from Google, Microsoft, Stripe, & Amazon. They combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, measurable, and digital-like experience. As a Senior Product Manager, you will help transform the data platform. Collecting advertising data from various sources, unifying and transforming it to be ready for campaign targeting, billing, optimization, and performance reporting as well as ensuring that the data science team has access to the right data. Your Responsibilities: Proactively drive the vision for data products development across multiple business verticals, and define a roadmap and execute on a plan to achieve that vision. Acquiring, transforming, managing and ensuring timely access to business critical data. Deeply understand the needs and use cases for all of your customers whether they are self-managed advertisers accessing data and reporting, the internal R & D data science teams using data to create cutting edge predictive models, or other product managers responsible for data visualization and presentation. Collaborate with engineering partners on the design, building, and launching of new data models, data pipelines, and data products in production with large scale, complicated datasets. Define appropriate SLAs and data accuracy metrics and monitoring and drive corresponding data quality initiatives. Create and maintain appropriate levels of documentation and cross-team. communications. Your skills and experience: Customer needs obsessed, Agile-fluent, black-belt user story, and solution creation, strong communicator with excellent people skills, highly organized and detail-oriented, passionate about tools and automation. Demonstrated success presenting complex data concepts and business cases to senior leadership in a clear and compelling manner that inspires action. Familiarity with these technologies: Python, AWS ecosystem (Redshift, RDS, EKS, etc.), GraphQL, Spark, Delta Lake, JupyterHub, Kafka, streaming frameworks such as Beam and Spark Streaming. Experience in a startup, early-stage, or entrepreneurial culture a plus Ad Technology experience is also a plus Perks: Competitive salary & stock options 100% insurance coverage for you and your dependents Unlimited PTO and sick days Snacks, drinks, and catered lunches (when it’s safe!) Team building events (in person when it’s safe, virtual otherwise) $1000 annual continued education benefit $500 WFH reimbursement $125 pre-tax monthly stipend to spend on whatever you want Annual mental health awareness app reimbursement FSA and commuter benefits Monthly Company Wellness Day Off (During WFH)
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Machine Learning Engineer | Mission Driven Startup!
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San Francisco
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Intelletec has partnered with a mission-driven SaaS company that is using Artificial Intelligence and Machine Learning to reduce food waste. They are looking for a Machine Learning Engineer to join the team; this is a one-of-a-kind opportunity to have a massive social impact at scale by leveraging uncommonly impactful software! As a Machine Learning Engineer, you will build models that are directly responsible for ordering millions of dollars of fresh inventory across the world every day; fresh food ordering is an extremely complex high-dimensional decision-making problem! You will tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world. RESPONSIBILITIES: You will be working on pushing the boundaries of the system's performance on product categories they already live in, as well as expanding the product to entirely new categories. You will be responsible for implementing new systems end-to-end, including working with product teams to define the business needs of a solution, reviewing research papers and implementing novel ideas, and scaling up experiments to generate predictions and decisions on millions of items every day. You will experiment with new features, train and validate new models, and push updates to all customers. You will build a strong understanding of perishable inventory control, time series forecasting, and simulation techniques. Your code must be rigorously validated, tested, and bug-proof. SKILLS: 4+ years of professional software development experience with advanced machine learning or statistical and numerical optimization methods. You have repeatedly and successfully taken complex research ideas from experiment to production, and you write high-quality and high-performance code that lives outside of experiments. Familiarity with forecasting techniques, time series analysis, and large-scale stochastic optimization is a plus. A graduate degree in operations research, computer science, electrical engineering, statistics, or a similar quantitative field. PERKS: Competitive compensation with equity packages Comprehensive health plans 401k matching Monthly grocery stipend WFH stipend Flexible vacation policy Professional development program
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Data Science Manager | Hottest Ad Tech Company
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Los Angeles
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Intelletec has partnered with one of the “Hottest Ad Tech Companies” in the industry. They are looking for a Data Science Manager to join their talented team of leaders from Google, Microsoft, Stripe, & Amazon. They combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, measurable, and digital-like experience. As a Data Science Manager, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated, solutions to a diverse set of challenging data problems. This role collaborates cross-functionally to provide profound insights from analysis and optimize business goals, with the ultimate goal of helping redefine marketing analytics for tv and streaming video media buying. Responsibilities: The Data Science Manager will be managing a team of data scientists and analysts, as well as performing advanced statistical analysis and providing insights for optimizing business. Designing algorithms to improve optimization capabilities and guide expansion opportunities into new lines of business. Investigating new methodologies devising improvements to existing algorithms. Analyzing large amounts of data to identify relationships and trends, and organize findings, translating them into actionable insights for clients. Qualifications: Master’s or Ph.D. in a technical field (e.g., Computer Science, Mathematics, Physics, etc) 5+ years experience as a Data Scientist in a technology environment Strong background in designing and developing analytics capabilities Intermediate to advanced experience in Data Manipulation Software (e.g., SQL, Python, Pandas) and cloud computing (e.g. AWS) Strong strategic thinking capabilities and project management skills TV Media Industry experience a plus Perks: Competitive salary & stock options 100% insurance coverage for you and your dependents Unlimited PTO and sick days Snacks, drinks, and catered lunches (when it’s safe!) Team building events (in person when it’s safe, virtual otherwise) $1000 annual continued education benefit $500 WFH reimbursement $125 pre-tax monthly stipend to spend on whatever you want Annual mental health awareness app reimbursement Monthly Company Wellness Day Off (During WFH)
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Founding Data Scientist | Y-Combinator backed Startup
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San Francisco
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Intelletec has partnered with an exciting startup (Y-Combinator backed) on a mission to make computer-to-human software communication delightful. They are pushing the frontier in developer tooling. They are seeking a founding Senior Data Scientist, reporting to the Head of Data, to develop actionable insights that drive the product strategy. You will be collaborating with cross-functional stakeholders to drive key decisions and initiatives. The ideal candidate will be data-driven, intellectually curious, and a clear communicator. Responsibilities: Create actionable user behavior insights that will influence product development and strategy Build and scale our experimentation platform to measure the impact of new features Design and develop product metrics (OKRs), create insightful automated dashboards and data visualizations to track progress Automate analyses and data pipelines while building scalable data infrastructure Be a thought partner to Product Managers, Designers, and Engineers Skills: 5+ years of experience in data science or analytics Strong analytical and communication skills with the ability to synthesize insights into compelling stories Experience designing, running and analyzing A/B tests, with a strong understanding of statistics Good product and business sense Expert in SQL - able to write structured and efficient queries on large data sets Experience with a statistical scripting language (e.g. R or Python) Working knowledge of Unix command line and git Experience with a BI tool (e.g. Mode, Metabase, Looker) Experience with ETL tools such as DBT or Airflow is a plus A Bachelor’s Degree or higher in a quantitative field Perks: Generous salary & equity plan Top of the line PPO health insurance plan (medical, dental & vision) – we cover 99% of your personal and dependent premiums 401k Flexible Health Savings Account Unlimited Paid Time Off (Vacation, Sick & Public Holidays) Free lunch Annual personal development budget $100 monthly commuter benefit contribution
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Director, Machine Learning Engineer | Healthcare
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Texas
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Intelletec has partnered with an impact-driven healthcare company, looking to make quality care more accessible and affordable. They are seeking a Director, Machine Learning Engineer to join the team in Texas. You will own the MLOps CI/CD/CT strategy for deploying machine learning solutions at scale for current and future capabilities, whilst being passionate about building machine learning applications that ensure patients receive the medications they need. Responsibilities: Create the roadmap for next-generation data science workbench integrated with our new data mesh Recruit top talent machine learning engineers to join your team. Drive adoption of best-in-class capabilities, including Deep Learning, Natural Language Processing, and Next Best Action Recommenders. Build, scale, deploy, and manage data science solutions in a multi-cloud environment to provide predictive insights that further the mission to improve care in every setting. Communicate strategy and results to technical and non-technical audiences; Develop and maintain strong relationships with key stakeholders, partners, and internal clients. Manage business stakeholder relationships to drive action and value from data science insights Partner with digital accelerators, universities, and consultants to accelerate innovation; Opportunities to co-author peer-reviewed publications and patent your AI/ML innovations Solve problems from the business point of view, build and execute solid analytics work plans, gather and organize large and complex data assets. Skills: Bachelors or higher with relevant experience in machine learning; and software engineering, architecture, and design is required. The degree should be in computer science, applied mathematics, operation research or machine learning. 10 years of relevant experience in machine learning; and software engineering, architecture, and design is required. At least 3 years of management and mentorship experience with machine learning engineers/data scientists in business or scientific research settings. Expert experience in one or more programming languages, Python plus Java, C/C++, … Expert experience with MLOps, CI/CD/CT, scalable ML deployment (e.g. MLFlow, Kubeflow, Docker, Kubernetes) Expert experience with cloud computing in Azure or GCP Experience with distributed computing: (e.g. Databricks, Apache Spark, Hadoop…) Experience with data pipelines, streaming architecture (Kafka), data engineering, creating feature stores, processing unstructured and structured data at scale. Industry experience using TensorFlow and Pytorch to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g. regression, classification, Time Series analysis: e.g. ARIMA, Traditional machine learning methods: e.g. Random Forest, ensemble model techniques, Optimization: e.g. linear programming Perks: Competitive base salaries and bonus Paid parental leave Wellness rebates 401k
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Senior Data Scientist | Healthcare
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Texas
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Intelletec has partnered with an impact-driven healthcare company, looking to make quality care more accessible and affordable. They are seeking a Senior Data Scientist to build machine learning solutions that improve patients’ lives and drive business value. As a Senior Data Scientist you will improve the quality of care for oncology patients; and exemplify operational excellence so that the business can focus on what matters most, creating value for customers. Responsibilities: Develop, design, build and oversee data science solutions to provide predictive insights that improve care in every setting Drive adoption of best-in-class capabilities, including Deep Learning, Natural Language Processing, and Next Best Action Recommenders Manage business stakeholder relationships to drive action and value from data science insights; Provide analytics leadership; conduct methodology and code reviews; utilize industry and academic resources to continuously learn and contribute to a growing knowledge base of data science best practices. Understand problems from the business point of view, build and execute solid analytics work plans. Communicate results; develop and maintain strong relationships with key stakeholders, partners, and internal clients. Skills: Masters +5yrs work experience or PhD, with relevant experience providing advanced analytics solutions, is required. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric-technical field Industry experience using TensorFlow and Pytorch to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction Experience in core data science and predictive analytics methods. Experience in SQL, relational databases: e.g. Snowflake, HANA, Microsoft SQL Expert-level skill in a programming language: Python + additional languages (e.g. Java, C/C++) Experience with Linux, Shell scripting: e.g. Bash Familiarity with a data visualization tool: e.g. Tableau, Power BI, R. Ability to process and synthesize complex data. Ability to communicate effectively and professionally, delivering impactful solutions and presenting work in a concise and thoughtful manner. Perks: Competitive base salaries and bonus Paid parental leave Wellness rebates 401k
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Senior Data Scientist | BioTech
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San Francisco
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Intelletec has partnered with a startup in the BioTech industry, founded by professors from Columbia University, & UCSF, they are combining biotechnology, neuroscience, robotics, and machine learning techniques to discover novel drugs for complex neurodevelopmental and neurodegenerative diseases. They are looking for a Senior Data Scientist to be part of the growing team, you will be at the heart of the drug discovery efforts. You will help build high-throughput data processing for microscopy images, neuron activity videos, genomics, and biochemical assays. The tech stack is primarily python in docker built atop the AWS cloud. Candidates must have: Demonstrable experience with data analysis and visualization on complex data sets BS/MS in a quantitative or biology field, e.g., computer science, bioengineering, biology, physics, math Strong programming skills Python fluency in scientific computing and analysis tools; pandas, NumPy, SciPy You will have some of the following: Experience with computer vision, supervised and unsupervised learning techniques, deep learning Track record of working on challenging biological problems and manipulating biological data sets Experience with large-scale data extraction from SQL databases, or queryable distributed file systems Familiarity with AWS If you’re a creative and curious person with good programming skills and a passion for data analysis, you’d be a great fit! On offer: Competitive salary, benefits Opportunities for professional growth in an intellectually stimulating and fast-paced environment Medical/dental/vision coverage 401(k) and FSA plans, Flexible vacation policy Paid parental leave Support for relevant training
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Senior Product Manager, Programmatic Media
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San Francisco
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Senior Product Manager, Programmatic Media Intelletec has partnered with one of the “Hottest Ad Tech Companies” in the industry, growing brands through linear and streaming TV. The team includes founders and leaders from Google, Microsoft, Stripe, Shazam, and Facebook. They are seeking a Senior Product Manager to join the growing Programmatic Engineering team, you will work closely with the Measurement and Media Buying PMs to coordinate on programmatic reporting and campaign management. Responsibilities: Deeply understand programmatic TV buying and performance measurement. Synthesize compelling product features for automated and unique programmatic TV buying capabilities such as retargeting. Balance between what is possible today, and what we should plan for tomorrow. Define new solutions and manage a rapid development product lifecycle to deliver those solutions. Work with related engineering teams to translate specific requirements into generalized product roadmap features. Qualifications: 4+ years of relevant product management experience in programmatic or digital advertising. Strong communicator with excellent people skills to interact with various teams inside the company, clients, and vendors. Highly organized and detail-oriented. Passionate about tools and automation, but practical about getting things done. Metrics-driven: Strong analytical and synthesis skills are a must, including the ability to absorb and process large amounts of data into actionable information. Perks: Competitive salary & stock options 100% insurance coverage for you and your dependents Unlimited PTO and sick days Snacks, drinks, and catered lunches Team building events $1000 annual continued education benefit $500 WFH reimbursement Annual mental health awareness app reimbursement FSA and commuter benefits
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Senior Director of Machine Learning & AI
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San Francisco
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Intelletec has partnered with a leading pharmaceutical company using the power of AI to revolutionize small molecule drug discovery. The company is extremely well funded, they are on a mission to make better medicines, faster. They are looking for a hands-on Senior Director level scientist to lead the Machine Learning & AI, research group. The group designs and implements the deep learning and AI architectures that power the discovery and development pipeline, with a strong focus on original research and publications. The position reports to the VP of machine learning cheminformatics & research. Responsibilities: Design/Identify, implement and validate the next generation of machine/deep learning and AI model architectures. Manage and grow an industry-leading team of a half dozen Ph.D. ML scientists and engineers to meet fast-growing needs for high-performance, predictive models across our pipeline. Establish and manage collaborations with leading academic groups and partners. Take the lead on publishing and presenting technologies in high-impact journals and international conferences. Required qualifications Ph.D in Computer Science, Mathematics, Computational Chemistry/Physics, Cheminformatics, or a related quantitative discipline 7+ years of relevant experience, and 2+ years leading and growing a team A recognized leader in the field of machine learning and AI, demonstrated by a strong publication record or other major contributions to the field Experience with one or more areas of geometric deep learning, generative models, and reinforcement learning Experience with pre-clinical drug discovery in a pharma setting, and with large-scale cheminformatics data Expert knowledge of the Python machine learning frameworks, e.g., PyTorch or TensorFlow Pro-active team player and creative problem solver Demonstrated ability to lead by influence across diverse teams and balance research against deliverables Strong familiarity with Linux command-line environment Compensation & benefits Great colleagues Competitive salary, commensurate with experience Stock compensation plan – you’ll be an Atomwise co-owner Platinum health, dental, and vision benefits 401k with 4% match Funding for professional development and conference attendance Generous parental leave Flexible work schedule
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Senior Director of Machine Learning & AI
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San Francisco
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Intelletec has partnered with a leading pharmaceutical company using the power of AI to revolutionize small molecule drug discovery. The company is extremely well funded, they are on a mission to make better medicines, faster. They are looking for a hands-on Senior Director level scientist to lead the Machine Learning & AI, research group. The group designs and implements the deep learning and AI architectures that power the discovery and development pipeline, with a strong focus on original research and publications. The position reports to the VP of machine learning cheminformatics & research. Responsibilities: Design/Identify, implement and validate the next generation of machine/deep learning and AI model architectures. Manage and grow an industry-leading team of a half dozen Ph.D. ML scientists and engineers to meet fast-growing needs for high-performance, predictive models across our pipeline. Establish and manage collaborations with leading academic groups and partners. Take the lead on publishing and presenting technologies in high-impact journals and international conferences. Required qualifications Ph.D in Computer Science, Mathematics, Computational Chemistry/Physics, Cheminformatics, or a related quantitative discipline 7+ years of relevant experience, and 2+ years leading and growing a team A recognized leader in the field of machine learning and AI, demonstrated by a strong publication record or other major contributions to the field Experience with one or more areas of geometric deep learning, generative models, and reinforcement learning Experience with pre-clinical drug discovery in a pharma setting, and with large-scale cheminformatics data Expert knowledge of the Python machine learning frameworks, e.g., PyTorch or TensorFlow Pro-active team player and creative problem solver Demonstrated ability to lead by influence across diverse teams and balance research against deliverables Strong familiarity with Linux command-line environment Compensation & benefits Great colleagues Competitive salary, commensurate with experience Stock compensation plan Platinum health, dental, and vision benefits 401k with 4% match Funding for professional development and conference attendance Generous parental leave Flexible work schedule
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Senior Machine Learning Scientist
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San Francisco
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