Senior Data Scientist

Data Scientist

MUST HAVE: STRONG DATA SCIENTIST WITH TABLEAU, SQL, NLP, TRANSFORMER TOOLS-BERT, PYTHON, COOMUNICATION SKILLS. LOCAL TO BAY AREA-HYBRID MODEL/This is a multi-year engagement for a San Francisco Bay Area resident. Master or Ph.D. degrees are preferred. Join a small and highly motivated team who study and analyze user interactions with customer facing applications. The team focuses on a data-driven strategy for making decisions by studying historic usage trends and is moving towards predicting how users will interact with the organization’s products. Passion of working with data and driving product performance by building a sound understanding of their users through creative problem solving. The ideal candidate is a great team player, has experience in predictive analysis, data modeling and familiarity with a multitude of technologies. You should also have proven analytical skills; strong experience in writing Python code, SQL queries, and familiarity with Tableau to create forecasting reports and predictive models.

Prerequisites:

• 4 to 5 years of experience and proven track record in solving business problems through fact-based and scientific analytics.
• Comfortable in working with programming language Python.
• Sound understanding of ML techniques for NLP.
• Advanced knowledge of Transformers and underlying concepts of neural networks and BERT training models.
• Experienced in working with Tensorflow, PyTorch, SpaCy, Scikit-learn, Pandas, NumPy.
• Well versed with supervised and unsupervised machine learning algorithms.
• Extensive experience developing Tableau reports.
• Clear understanding of logical and physical database design and data.
• Strong database skills (MySQL, SQL Server) and ability to write, optimize and tune complex SQL scripts.
• Excellent interpersonal skills and ability to work in a team with diverse backgrounds and share knowledge.

Responsibilities:

• Make recommendations regarding collection, extraction and transformation of large data sets.
• Utilize statistical approaches to build predictive models (time series, clustering, neural networks) Interpret data and analyze results.
• Translate analytical insights into clear recommendations; identify trends and patterns to inform business decisions and product design.
• Leverage Python to analyze complex data.
• Define and develop a data migration strategy between different products and platforms.
• Develop creative ways to identify and use data that significantly impact key business metrics.
• Assess the potential usefulness and validity of new data sources.
• Mentor other team members/ analysts to grow their skills and careers.

Qualifications:

• Master degree or Ph.D. in Computer Science, Statistics, Mathematics, or Engineering