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Senior Data Scientist

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    200000

  • Contact:

    Mia Monaghan

  • Contact email:

    mia@intelletec.com

  • Job ref:

    SDS003

  • Startdate:

    ASAP

Job Description:

Intelletec has teamed up with a fast-growing Fintech company in the Bay Area company seeking a Data Scientist to join their team. We are looking for a Data Scientist that will help our client discover the information hidden in vast amounts of data, and help them make smarter decisions to deliver even better products.About The Company

A fast-growing company that's changing the way enterprise companies market to consumers. They have a SaaS platform with real revenue from enterprise customers.

About The Role:

As a key member of the Data team, you’ll get in on the ground floor and help architect a brand-new platform powered by the latest big data technologies. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with their products.You’ll own your work and create far-reaching impact! This isn’t an environment where you can go through the motions, it’s a place where you can make a difference, personally and professionally.

You will have a broad impact and true ownership.

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third-party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills

  • 4+ years of Data Science experience
  • BS in computer science or equivalent experience
  • General understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLabProficiency in using query languages such as SQL
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality

My client is looking to offer a base salary of up to $200,000k + Benefits, & Equity.

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