Senior Data Scientist

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What you'll do...

Position: Senior Data Scientist

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analytical Modeling: Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments.

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 3 years of experience in an analytics related field.

Skills required: Experience developing with Python and Spark framework; Experience working on scalability for machine learning services; Experience utilizing relational and non-relational databases for data transformation, extraction, and persistence; Experience deploying machine learning model applications using docker containers on On-premises, private cloud infrastructure; Experience performing data mining operations using scripting language such as python for insightful analysis; Experience building and training ML models using TensorFlow and Keres frameworks; Experience working with NLP techniques such as Transformers, Bert Embeddings, Glove Embeddings, Word2Vec and TFIdf for text vectorization; Experience building inference services for Machine learning python applications using Flask as well as Fast API framework; and Experience utilizing ML Flow tool to maintain the life cycle of the Machine Learning models. Employer will accept any amount of experience with the required skills.

Salary Range: $171,337/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Ad