Meet Amelia Jones

Our client who is creating an entirely new category of software-as-a-service for consumer brands -- the Customer Growth Platform. This first-of-its-kind platform enables automated digital engagement and personalized loyalty programs to transform customer experiences while delivering predictable and repeatable lifetime value growth for brands. As a Senior Data Scientist on a Customer Growth Platform, you’ll develop predictive data products, such as product demand forecasts, customer lifetime valuation, personalized product recommendations, and more. Then you’ll develop optimization algorithms based on these predictive data products, for brands to use in their marketing and offers so they can efficiently maximize growth. The experimentation solutions you develop should prove the value of our suggestions, as well as help train future predictive models about what products and offers will drive customer engagement. Day to day includes: Data platform design: You'll partner with software engineering and product management counterparts to design our data and machine learning infrastructure, including collection, storage, processing, experiment design, modeling, and finally automated optimization. Data normalization and integrity: we’ll be importing highly heterogeneous data from a variety of customers across thousands of locations with millions of customers. This will require clever solutions to ensure the data they send us is readily available, easy to use and reliable. Predictive modeling and data products: you’ll be the primary contributor to the models that power our forecasting and recommendations, which are at the core of this role and our Customer Growth Platform offering. Experimentation & impact analysis: outbound marketing automation, including paid media, product discounts and loyalty reward offers, often costs consumer brands real money. Through rigorous experiment design, including power analysis, and execution you will prove to our customers that our predictions are accurate and our optimizations deliver impact. When experimentation isn’t an option, you’ll develop causal inference models to measure impact. Skills: PhD in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science 3+ years of demonstrated success using machine learning model development to solve business needs Expertise in at least one statistical software package or languages such as R, Stata, Matlab, or Python Expertise using big data infrastructure and tools, such as Spark, SageMaker, Redshift What’s on offer: Competitive Salary Equity/Stock Options Health, vision, dental insurance coverage 401(k) Life Insurance, Short-Term Disability, Long-Term Disability Pre-tax Commuter Benefits and Ford GoBike Membership Pet Insurance and Dog-Friendly Office ARC Fertility Program Catered lunch and unlimited snacks Regular company outings and events

Lead Data Scientist San Francisco We have partnered with an ambitious startup who are building the future of television. Seeking a Lead Data Scientist with experience in leading data-driven product development and comprehensive business analytics. The ideal candidate will have competence with statistical modeling and independently developing data-driven insights in the face of ambiguity. Experience using Machine Learning to build data-driven product features is a strong bonus. Responsibilities: Collaborate with the product and engineering teams to design, execute and analyze experiments to improve the product, user experience, and signup conversion rates. Collaborate with the engineering team on data pipeline to support advanced analysis of customer acquisition and retention efforts (influenced by product features and marketing activity). Create and own predictive models for key business and customer performance metrics. Design, build and maintain automated dashboards that connect data from internal and external data sources to support reporting, data discovery and statistical analysis that inform product priorities and marketing decisions Deliver quick insights on ad hoc projects and analyses as necessary Skills: Passionately analytical and innately curious creative thinker Solid technical database knowledge and experience optimizing SQL queries on large data sets Experience with A/B testing and analysis Experience with advanced statistical methods Excellent presentation and communication skills, particularly the ability to explain and present analytical methodology and results to non-technical audiences Hands-on experience with statistical tools (e.g. SAS, R, Python) 3-5+ years of experience in business and data analytics after graduation BS or MS degree in Statistics, Math, Data Science, CS or related discipline Nice-to-have: Hands-on experience with BI and visualization tools (e.g. Tableau, Periscope, Domo) Programming skills, in particular, experience with statistical libraries in python Machine Learning and Deep Learning experience What's on offer: Competitive salary, company stock options, and health benefits Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two-week vacation) $5000 annually for professional development and educational assistance $500 “TV stipend” for new employees to upgrade their home watching setup Dog-friendly office And much more!

LEAD CONTROLLER PALO ALTO A Series B ($70m+ funded) digital asset Fintech based in Palo Alto is looking for a Lead Controller. The company was founded in late 2012 and acts as one of the leading processors of Bitcoin transactions in the world. They are backed by Craft Ventures, DRW, Galaxy Digital Ventures, Goldman Sachs, Redpoint Ventures, and Valor Equity Partners. The role of the Lead controller will focus on overseeing and managing the accounting functions team and developing the accounting technology and skills of the team. Role and Responsibilities Lead the accounting organization Work to ensure the compliance ops is in place, and drive process improvement across the function Review, improve and continue to define internal systems, including internal controls and policies and procedures. Preparation of financial reports, analysis, and risk Full ownership of month, quarter and year-end close, including reporting of results Compliance with local, state and federal regulations Skills and Experience Required 10+ years of relevant experience Track record of leading, and overseeing an accounting department Payroll, AP, AR and Compliance experience Experience working to tight deadlines, and delivering accurate on-time reporting Technology or financial services experience is preferred Proficient with MS Office and accounting systems (Quickbooks, Netsuite, ADP, Salesforce, Google Suite, etc.) Up-to-date on local, state and federal regulations on taxes and reporting BS in Accounting, Finance or similar field CPA desired Compensation/Benefits Market Competitive, c$200k, plus bonus and equity 100% company paid health insurance for employee, spouse/partner and children (medical, vision, dental, life, FSA, HSA) 401k company match up to 5% Paid parental leave Catered custom lunches, fresh snacks and gourmet coffee at the office Computer equipment and workplace furniture to suit your needs Generous paid time off

Senior Machine Learning Engineer San Francisco (Remote) We are working with a fast growing B2B data company who are looking for a Senior Machine Learning Engineer to join the team. Raised $20 million Series A. Based in San Francisco, however, you will mostly be working remotely. You will be a core software engineer, reporting to the CTO working as an individual contributor. This role offers real opportunity for future leadership. Requirements: At least 5 years of relevant work experience. Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods. Proficiency writing production-quality code, preferably in Scala, Java, or Python. Experience working with huge data sets. You are authorized to work in the U.S. Excellent communication skills. You are amazingly entrepreneurial. Nice to haves: Experience using Apache Spark to solve production-scale problems. Experience with AWS. Experience with building ML models from the ground up. Experience working with huge data sets. Python, Database and Systems Design, Scala, Data Science, Apache Spark, Hadoop MapReduce.

SENIOR MACHINE LEARNING ENGINEER SAN FRANCISCO We are working with a fast-growing tech company in San Francisco who are solving the big problems around food waste and the fresh food supply chain. They are using cutting-edge AI combined with thoughtful design to enhance decision-making and optimize store workflows. The results are powerful: in live deployments in grocery stores, they have demonstrated the potential to double profits and reduce food waste by 50%. They are growing fast and are in partnership with 4 large regional grocers representing 500+ stores and >$10B in revenue. Backers include Innovation Endeavors (former Google CEO Eric Schmidt’s firm) and Baseline Ventures (first money in Stitchfix, SoFi, Heroku, Instagram). Due to rapid growth, our client is seeking Senior Machine Learning Engineers to join the team. What will you be doing? Training machine learning models over billions of data points. Quantifying predictive uncertainty using probabilistic and Bayesian methods. Creating models that quickly generalize to new tasks using few-shot and meta- learning. Training agents that execute decisions to optimize a reward over time. Implementing state-of-the-art model-based planning and reinforcement learning algorithms, including offline and off-policy methods that learn from human demonstrations. Scaling machine learning systems to massive datasets using big data technologies such as Spark and Hadoop. Building visualization and data exploration tools that automate the analysis and debugging of machine learning models. What skills and experience do you need? Masters or PhD in computer science, or equivalent. 4+ years of work experience. Strong programming and problem-solving skills. Deep knowledge of machine learning, including both supervised and reinforcement learning. Specific subfields include deep learning, probabilistic and Bayesian methods, few-shot and meta- learning, model-based planning, and imitation learning. Proficiency with the Python machine learning stack, including numpy, scipy, pandas, scikit-learn, matplotlib, tensorflow, keras, pytorch. Experience with reinforcement learning, model-based planning, and/or control theory is a plus.

We have partnered with a post IPO Software Platform that empowers businesses, organizations, professionals, and individuals to take their businesses, brands, and workflow online. They are seeking a Head of People Operations (US Workplace Experience) to join their San Francisco office reporting in to the General Manager. You will have 10-15+ years experience managing, developing and motivating a workplace experience and operations team in a technology-driven company. You will thrive in a positive work environment as well as experiences outside of the office that are collegial and fun. As the Head of People Operations (US Workplace Experience) , you will: Be a part of the Global Workplace Experience and Operations management team that ensures that the Global teams are connected. Lead, manage and develop the Workplace Experience and Operations team across multiple US sites, creating a positive workplace experience and implementing in-house or off-site activities like celebrations, happy hours and other events for employees. Serve as the main point of contact for US-related advisors and vendors such as real estate advisors, legal counsel, facility management vendors, event planners, food and beverage vendors, etc. Lead any required US office build-outs and improvement projects, coordinating with internal team members and working with various outside advisors, vendors and contractors. Work closely with the Purchasing team to negotiate vendor contracts and agreements. Build relationships with employees to better understand their needs and collaborate with other functional groups such as HR, IT and Finance.

PRINCIPAL DATA SCIENTIST PHILADELPHIA We have partnered with a global leader who owns and operates subscription-based services focused largely on analytics; providing trusted insights and analytics to accelerate the pace of innovation. They are seeking a Principal level Data Scientist to join the Search and Analytics team in Philadelphia. Responsibilities Work closely with product managers and business partners across the company to identify opportunities to innovate and build game-changing product features using Machine Learning, Information Retrieval, NLP and Predictive Analytics Own one or more research areas, represent the team in executive-level meetings, mentor other scientists and engineers in the team, and lead the research and delivery of models in close collaboration with scientists and engineers Qualifications Masters degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering or a related field 7+ years proven track record in the application of ML and NLP in an industrial setting A deep technical background along with mentorship and leadership experience Experience owning deliverables for machine learning, analytics or large-scale data-driven product features Excellent programming skills (Java/Python/R/SaS) and understanding of computational complexity and data structures A proven track record of proposing innovative features and platforms, securing funding for their ideas, and delivering significant, quantifiable business impact

EXPERIENCED DATA SCIENTIST VIDEO & MUSIC SOCIAL STREAMING PLATFORM I am working with a fast-growing video and music social streaming platform who are looking for an experienced Data Scientist. Funded by prominent Silicon Valley and global venture partners, they are rapidly hiring exceptional talents and brand ambassadors who want to build and scale the next-generation social platform. Responsibilities Expert level experience with analyzing, developing, implementing, and influencing recommendation systems from the ground up (such as content, products, etc. based on user preferences) Up to 30% time coding including advanced machine learning algorithms. The remaining time is spent as a business-oriented leader executing, analyzing, and influencing decision-making. Collaborate with technical and non-technical teams up to executive level to drive knowledge in better understanding of our user communities, identifying opportunities to own and build next-gen content discovery engines Quickly prototype ideas and solve complex problems by adapting creative approaches Carry out independent research and innovation for recommendation systems, while supporting existing projects to continuously optimize and customize search algorithms such as personalization and localization Qualifications Advanced STEM degree with 10+ years of progressive experience in machine learning and programming Advanced knowledge and domain expertise with recommendation systems (search ranking, information retrieval, deep learning to match, etc.) Must be business-oriented with excellent communication skills adaptable to audiences from engineering to business development Strong analytical and quantitative skills with a creative approach to problem-solving Expert experience with consumer internet, social media, especially in content search and discovery Start-up mindset and able to thrive in a fast-paced global environment Compensation Competitive pay BIG equity upside Very competitive benefits (one of the better employer contribution I've seen) Newly renovated, modern collaborative space

SENIOR TAX MANAGER - TRANSFER PRICING & PLANNING PHILADELPHIA We have partnered with a global leader who owns and operates subscription-based services focused largely on analytics; providing trusted insights and analytics to accelerate the pace of innovation. They are seeing a Senior Tax Manager of Transfer Pricing & Planning with 6+ years experience; you will be responsible for the transfer pricing function including monthly invoice review and preparation and transfer pricing calculation. As well as preparation, review, and coordination of all functional analysis, transfer pricing audits and country by country reporting. Responsibilities Responsible for the global transfer pricing function, including BEPS reporting, permanent establishment research, withholding tax, treaty research, and memos, transfer pricing calculations, invoicing and forecasting models. Perform functional analysis for all business units, understand the global transfer pricing methodology Responsible for forecasting tax cash paid and effective tax rate. Support foreign locations in minimizing U.S. and local country income, customs and VAT taxes. Prepare and review as needed, all BEPS related reports and international tax compliance for related party transactions. Coordinate preparation of local foreign statutory financial statements as it pertains to intercompany transactions Perform detailed and accurate research on all tax compliance matters as needed to ensure that the tax filing positions for intercompany transactions are supported by sound tax positions. Qualifications Bachelor’s degree in Accounting Advanced degree a plus CPA certification preferred Big 4 experience strongly preferred Minimum of 6 years of experience working in tax and working in a global tax environment with transfer pricing US Citizens and Green Card holders, or those with rights to work in the USA without VISA sponsorship are encouraged to apply.

MACHINE LEARNING ENGINEER SAN FRANCISCO Intelletec has partnered with a Start-up in Downtown San Francisco; they develop productivity software for iOS devices and Mac. Their main product is used by millions of people around the world for capturing and reviewing information. They are looking for a Machine Learning Engineer to join the team. You should be passionate about what you work on, excited to improve yourself, and happy to help those around you. The company runs on the philosophy that each member of the team is a valuable contributor to all parts. They encourage and trust employees to make their own decisions and employ best practices. As a tight-knit, rapidly growing team, they look for adaptability and positivity. Skills You will have at least 5 years of relevant Machine Learning work experience A deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods. Proficiency writing production-quality code, preferably in Scala, Java, or Python Experience working with huge data sets Compensation c$170,000 and a generous equity package (based on xp) Comprehensive healthcare - medical, dental, vision Flexible vacation and work schedule 401k with matching Free lunch and Happy Hours

TECHNICAL ACCOUNTING MANAGER PHILADELPHIA We have partnered with a global leader who owns and operates subscription-based services focused largely on analytics; providing trusted insights and analytics to accelerate the pace of innovation. They are seeking a Technical Accounting Manager with 4+ years experience; who will be responsible for managing the Company's technical program, including provision of technical accounting research and conclusions on complex areas of accounting, technical accounting support for major transactions, technical accounting liaison and education for business unit finance teams, forming technical positions on adoption of new standards and drafting of technical accounting policy. This position reports to the Director of External Reporting and Technical Accounting Responsibilities include: Lead technical accounting and accounting policy efforts for the Company, including development and maintenance of policies and practices and education of the finance organization on technical accounting compliance. Advising Senior Finance Management on potential technical accounting alternatives for complex transactions. Ownership of accounting for confidential matters requiring technical accounting expertise such as Executive Stock Compensation, Severance and Restructuring Accruals. Assist the team with establishing robust Financial Reporting processes and executing controls around Financial Reporting in a timely and diligent manner to comply with SOX requirements. Conduct research and document conclusions on specific US GAAP, and SEC disclosure and reporting developments. In addition to the necessary skills and experience to perform the responsibilities outlined above, there are a number of traits that a successful candidate will possess: Bachelor’s degree in accounting. CPA required 4-7 years of accounting experience; Big 4 public accounting experience a plus. Strong knowledge of accounting principles, financial disclosure requirements and techniques, including US GAAP and SEC rules and regulations. Demonstrable experience of solving problems in areas of accounting complexity. Experience presenting ideas to multiple stakeholders, including Senior Management. US Citizens and Green Card holders, or those with rights to work in the USA without VISA sponsorship are encouraged to apply.

SENIOR DATA SCIENTIST SEATTLE I am looking for a Senior Data Scientist to join a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry, through their powerful platform ecosystem. The 'gig-economy' aspect allows their independent agents to work in an Uber-style way, maximizing revenue 24/7/365. Responsibilities: You will be adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action. The team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. You must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering. You thrive in a fast-paced environment where priorities can shift rapidly as they corner opportunity. You can work independently, with little oversight or guidance. Experience: Proficiency in either Python or R, and expertise in SQL. Experience working with AWS or another cloud-based computing platform. Experience and working knowledge of data infrastructure, pipelines, and advanced data manipulation. Experience with BI tools like Tableau or Looker (preferred), or any other industry tool such as Qlik, PowerBI, Spotfire, etc. Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked. Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business. Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room. Bachelor's degree in mathematics, statistics, data science, or related field of study. On Offer: Strong base salary - Up to $250k Impressive cash/stock bonus scheme Excellent benefits Flexible hours / WFH

SENIOR ACCOUNTANT, STATUTORY REPORTING PHILADELPHIA We have partnered with a global leader who owns and operates subscription-based services focused largely on analytics. They are seeking a Senior Accountant, Statutory Reporting, you will be responsible for project managing the preparation and audit of statutory accounts to ensure timely compliance with local regulations across the global organization. The role will drive timely completion of local financial statement filings and provide quality control for our local statutory reporting. Responsibilities: Work with local controllers, consultants and external audit teams to develop detailed project plans for statutory financial statement compliance, including establishment of project milestones, assignment of responsibilities, identification of deliverables and regular progress reporting to local and corporate management. Assist local management in addressing technical aspects of financial statement preparation and in responding to audit questions of a technical accounting nature Reviewing local statutory financial statements and supporting disclosures to ensure that they meet the required quality standards for local audit, including working with local stakeholders to understand the local statutory reporting requirements. Managing audit requests to ensure that the audit process is efficient You will have: Bachelor’s degree in accounting and a CPA are required CPA and PM skills Minimum 2-4 years accounting experience, Big 4 public accounting experience preferred Strong project management skills with a track record of managing multiple work streams contemporaneously Strong technical knowledge of accounting principles, financial disclosure requirements and techniques Extensive experience in the preparation and presentation of financial statements under guidelines established by IFRS and US GAAP, including a solid foundation of the financial statement close processes. Knowledge of other local GAAPs and/or statutory reporting is an added bonus.

SENIOR DATA SCIENTIST CUPERTINO Intelletec has teamed up with one of the US's Leading Healthcare firms; they are going through a massive transformation and are looking for a Senior Data Scientist to join the team in Cupertino. This is a great opportunity for a Senior Data Scientist to analyze petabytes of data in a world-class Hadoop cluster and generate insights to help consumers achieve their health ambitions. Responsibilities: Evaluating the efficacy of Attain in terms of medical cost savings and health outcomes for our members Establishing KPIs and core metrics for product evaluation Working closely with Product and Marketing teams to provide insights and determine opportunities for optimization Determining the optimal analytical approach to solving critical problems and informing the Product roadmap Presenting findings to executive leadership Requirements: 3-5 years of experience as a data scientist in a big data environment (knowledge of Hadoop and/or Hive a plus) Proficiency in data science techniques including machine learning, statistical modeling, experimentation, and visualization Expertise in SQL and Python/R (knowledge of Spark a plus) Excellent communication skills with the ability to work well with people from various disciplines (Product, Marketing, Finance, etc.) If you have at least 3 years industry experience as a Data Scientist I encourage you to apply.

LEAD DATA ENGINEER NEW YORK, HARTFORD OR BOSTON Intelletec has teamed up with one of the US's Leading Healthcare firms; they are going through a massive transformation and are looking for a Lead Data Engineer to join in New York, Hartford or Boston. This is a lead position in one of the most forward thinking teams - the analytics team. The Company is focused on reshaping healthcare across the US, and this role is pivotal to the technical development aspects of their goal. This Lead Data Engineer role will see you manage successful delivery of large scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows. Responsibilities: Write complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Develop frameworks, standards & reference material for architecture and associated products. Design data marts and data models to support Data Science and other internal customers. Mentor junior team members to provide technical advice. Use in-depth knowledge on Hadoop architecture, HDFS commands and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines. Use advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems. Experience needed : 7 or more years of progressively complex related experience. Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. Master’s degree or PhD preferred. Proven ability to create innovative solutions to highly complex technical problems. Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources. Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar. Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment. Experience building and implementing data transformation and processing solutions. What’s on offer: Salaries between $140-170k, but flexible for the right candidate Full Healthcare, great benefits, great bonus structure (almost always guaranteed)

MACHINE LEARNING SPECIALIST - COMPUTER VISION SEATTLE Intelletec are working with a SAAS engineering organization that focuses on creating industry-leading hospitality solutions to help deliver a superior guest experience. They are looking for a Senior Applied Scientist who has a deep passion for building machine-learning solutions and can help us take their products to the next level. The role will give you the opportunity to build something from the ground up, the role is hands on with executive visibility. Responsibilities Conduct hands-on data analysis and design machine-learning models. Work closely with software engineers on detailed requirements, technical designs and solutions. Provide technical leadership and research new machine learning approaches to drive innovation. Help drive adoption of Machine Learning across the company. Qualifications Master’s degree in Data Science, Analytics or Computer Science with Machine Learning specialization or related discipline. A PhD is preferred. 5+ years hands-on experience in building Machine Learning solutions. 3+ years’ experience with data structures, algorithm design, problem solving and complex analysis. Strong coding knowledge, experience with Azure or AWS machine learning pipelines. Excellent understanding of convolution neural networks and other machine vision algorithms and methodologies. Experience working effectively with science, data processing, and software engineering teams. Excellent oral and written communication skills, with the ability to effectively communicate complex technical concepts and solutions. Proven hands on experience working with large data sets and training models. Proven track record of executing complex projects.

PRINCIPAL APPLIED DATA SCIENTIST - 8+ YEARS INDUSTRY EXPERIENCE SEATTLE We have partnered with a dynamic startup that are creating a digital engagement and ordering platform for restaurants. Their team combines engineers, data scientists, designers and industry experts who are making personalization and convenience the new standard for all customer experiences. They are looking for a Principal Data Scientist, with 8+ years of industry experience, to guide the team’s development of predictive data products, such as product demand forecasts, customer lifetime value, personalized product recommendations, and more. You will also lead the team through the design and delivery of optimization algorithms based on these predictive data products and trained through programmatic experimentation, for brands to use in personalized marketing and promotional offers so they can efficiently maximize growth. What You’ll Do: Guide the team’s engagement with software engineering and product management counterparts to design our data and machine learning infrastructure, including collection, storage, processing, model training and validation, experiment design, and finally automated optimization. Data normalization and integrity: we’ll be developing our machine learning data products from heterogeneous data from a large variety of brands that cover thousands of locations with millions of customers. This will require clever solutions to ensure the data they send us is readily available, easy to use and reliable. Predictive modeling and data products: you’ll be the primary architect, guiding the team’s use of models that power our forecasting and recommendations, which are at the core of this team’s work and our Customer Growth Platform offering. About You: PhD in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science 8+ years of demonstrated success using machine learning model development to solve business needs Expertise in at least one statistical software package or language such as Python, R, Stata, Matlab Expertise using big data and machine learning infrastructure and tools, such as SageMaker, Spark, AWS Glue, Redshift Expertise in partnering with software development leaders to design scalable data and machine learning infrastructure What’s on offer: Competitive Salary Equity/Stock Options Health, vision, dental insurance coverage 401(k) Life Insurance, Short-Term Disability, Long-Term Disability Pre-tax Commuter Benefits Pet Insurance and Dog-Friendly Office Catered lunch and unlimited snacks Regular company outings and events

PRINCIPAL DATA SCIENTIST Intelletec has teamed up with one of the US's Leading Healthcare firms. They are going through a massive transformation and are looking for a Principal Data Scientist to join the leadership team in the NYC, Boston or Connecticut office. The Principal Data Scientist will have a broad impact and true ownership. You will provide strategic leadership for the development, validation, and delivery of algorithms and statistical models. Acting as the analytic team lead for highly complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives. RESPONSIBILITIES Work with C-level stakeholders and articulate machine learning concepts in non-technical terms Lead team of 2-3 Data Scientists on the development and delivery of predictive analytics solutions to drive behavior change or customer experience across channels Consult with business partners to understand problems and goals, understand the business value, and translate into business opportunities to be captured through predictive analytics solutions Develop advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes Think creatively to identify opportunities for digital innovation Evaluate externally developed technology solutions Communicate new ideas and methods to the broader team Increase efficiency through both tactical and strategic technology implementations SKILLS AND EXPERIENCE You are a go-getter and self-starter with an entrepreneurial spirit 6 or more years of progressively complex related experience Demonstrates advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling Comprehensive knowledge of the health care industry, products, systems, business strategies, and products Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form Advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling Expertise in using R or Python to manipulate large data sets and develop statistical models 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

DATA SCIENCE DIRECTOR NEW YORK OR CONNECTICUT Intelletec has partnered with one of the US's Leading Healthcare firms. They are going through a massive transformation and are looking for a Data Science Director to join the leadership team in the New York or Connecticut office. Join Member Analytics team as a Data Science Director and have the opportunity to use cutting edge technologies analyzing petabytes of data in a world-class Hadoop cluster, generating insights to guide consumers in their journey to wellness and help them achieve their health ambitions. The team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way. RESPONSIBILITIES Direct analytics professionals and, in some cases, managers of analytics teams. Apply experience from strategy consulting, analytics, and data engineering to successfully direct the development of statistical and mathematical analyses to support business decision making for one or more business functions. Lead development of solutions with moderate complexity and risk with business area implications. Understand and recommend modeling techniques to data scientists. Ability to structure data analysis, driving analytics insights and analytical solutions. Ability to translate business problems into analytical solutions. Leads multiple large cross-functional project teams. Plan for the current year in terms of strategy and operations. Autonomously leads the client relationship with senior business leaders as single point of contact. Collaborate with business partners to understand their strategy, problems, and goals. Works with senior leaders to identify opportunities to implement analytics solutions to business problems. REQUIREMENTS 5+ years of business experience leading analyses and initiatives with a track record of business impact. Minimum 10 years total business experience 5+ years of people management experience 5+ years experience strategy consulting or on strategy teams in large companies Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources. Anticipates and prevents problems and roadblocks before they occur. Healthcare sector experience preferred Demonstrates a strong ability to communicate technical concepts and implications to business partners. Bachelor's degree in a quantitative field, or an equivalent combination of formal education and experience. Master's degree in a quantitative field or MBA strongly preferred. ON OFFER Very competitive salary, bonus, full medical, dental & vision benefits plus more. A tight-knit team of passionate people and a tech-first business. Autonomy and end-to-end ownership. Opportunity for fast growth & promotion.

PRINCIPAL DATA SCIENTIST CUPERTINO Intelletec has teamed up with one of the US's Leading Healthcare firms. They are going through a massive transformation and are looking for a Principal Data Scientist to join the leadership team in their Cupertino office. The Principal Data Scientist will have a broad impact and true ownership. You will provide strategic leadership for the development, validation, and delivery of algorithms and statistical models. RESPONSIBILITIES Provide strategic leadership for the development, validation, and delivery of algorithms, statistical models and reporting tools. Act as the analytic team lead for highly complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives. Establish analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses. Apply in-depth knowledge of systems and products to consult and advise on additional efforts across organization/enterprise. Motivate team members and probes into technical details, and mentor others to do the same. SKILLS AND EXPERIENCE Strong organizational, management and leadership skills. 10 or more years of progressively complex related experience. Superior skills to effectively communicate and negotiate across the business and in the external health care environment. Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources. Comprehensive knowledge of the health care industry, products, systems, business strategies and products. Demonstrate advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling. Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form. Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. 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

I am looking for a Senior Data Scientist to join a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry. Responsibilities: You will be adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action. The team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. You must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering. You thrive in a fast-paced environment where priorities can shift rapidly as they corner opportunity. You can work independently, with little oversight or guidance. Experience: Proficiency in either Python or R, and expertise in SQL. Experience working with AWS or another cloud-based computing platform. Experience and working knowledge of data infrastructure, pipelines, and advanced data manipulation. Experience with BI tools like Tableau or Looker (preferred), or any other industry tool such Qlik, PowerBI, Spotfire, etc. Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked. Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business. Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room. Bachelor's degree in mathematics, statistics, data science or related field of study. On Offer: Competitive base salary Impressive cash/stock bonus scheme Excellent benefits Flexible hours / WFH

I am looking for a Machine Learning Engineer to join a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry. Responsibilities: 4+ years of backend software engineering in a team environment. Bachelor's degree in mathematics, statistics, data science, or related field of study. Experience writing and debugging complex database queries and code. Ability to quickly learn new technologies to help the team explore new solutions. Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked. Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business. Mentorship of others – you raise the bar on coding standards and provide meaningful feedback on code changes. Experience: Experience with writing production-level Python. Unit and integration testing. Use of cloud technologies (AWS, GCP, Azure). Participate in agile methodologies (daily standup, sprint planning, retros). Profiling and performance tuning of production code a bonus. Direct experience with using ML libraries like sklearn, or Spark ML in a production environment is a huge bonus! On Offer: Strong base salary Impressive cash/stock bonus scheme Excellent benefits Flexible hours / WFH Unlimited Time Off Nutritional Snacks and Weekly Lunches

CUSTOMER SUCCESS MANAGER SAN FRANCISCO We are working with an exciting Series D SaaS startup based in San Francisco. They have a tool that transforms the way teams work together. Their mission is to help teams build a culture of transparency and empower everyone to be happier at work. They have just raised an additional $150M bringing their total funding to over $230M and are looking to hire another Customer Success Manager. The Role Build strong relationships with clients to understand their needs and ensure their success Serve as the main point of contact and liaison between clients and the rest of the team Empower customers to connect their goals and challenges Take ownership of new accounts and manage their onboarding Lead, consultations, and one-on-one demos to educate customers on the features of our product Your Experience & Skills 2+ years of B2B SaaS customer success, account management or consulting experience working with accounts of various sizes Superb written and verbal communication skills Positive attitude, empathy, and high energy Ability to take initiative and adapt Prior experience in Strategy consulting - Advantage Strong customer-facing and presentation skills with the ability to establish credibility with executives BA or BS degree On offer Strong base salary Excellent benefits Join an exciting start-up with great progression opportunities

ACCOUNT EXECUTIVE - ENTERPRISE SAN FRANCISCO We are working with an exciting Series D SaaS startup based in San Francisco, who are looking for an Account Executive. They have a tool that transforms the way teams work together. Their mission is to help teams build a culture of transparency and empower everyone to be happier at work. This is an incredibly unique and fun place to work. They have just raised an additional $150M bringing their total funding to over $230M and are looking to hire another Account Executive. The Role Own the full sales cycle, from identifying expansion opportunities to building the relationships with key stakeholders to negotiation and contracting Proactively build and identify opportunity signals and generate expansion opportunities (up-sell, add-on, cross-sell, etc.) Act as a point-of-contact for relationship and commercial issues Develop strategies and coordinate cross-functional support to help customers maximize the value from the monday.com solution Your Experience & Skills 10+ years of B2B SaaS sales, account management or consulting experience working with large, enterprise-level accounts (> 50-150K ACV) Prior experience in Strategy consulting Strong customer-facing and presentation skills with the ability to establish credibility with executives Superb written and verbal communication skills Positive attitude, empathy, and high energy BA or BS degree On offer Strong base salary Excellent benefits

ACCOUNT EXECUTIVE - MID MARKET SAN FRANCISCO We are working with an exciting Series D SaaS startup based in San Francisco, who are looking for an Account Executive. They have a tool that transforms the way teams work together. Their mission is to help teams build a culture of transparency and empower everyone to be happier at work. This is an incredibly unique and fun place to work. They have just raised an additional $150M bringing their total funding to over $2