Staff Data Scientist

Key Responsibilities

Understands and translates business and functional needs into AI/ML problem statements.

Build complex data sets from multiple data sources, both internally and externally.

Develop custom data models to drive innovative business solutions to increase revenue and membership.

Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities.

Use strong business acumen, as well as an ability to communicate findings and mine vast amounts of data for useful insights.

Apply innovative and scientific/quantitative approaches to draw conclusions and make recommendations to answer business objectives.

Skills

Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, time series forecasting, deep learning, and anomaly detection

Strong understanding of probability and statistical models (generative and descriptive models)

Hands-on experience building large-scale optimization models (Linear Programming, Integer Programming, etc.)

Ability to run experiments scientifically and analyze results

Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner

Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations

Minimum Qualifications

Masters' degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field.

Preferred Qualifications

Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.

7 years experience in data science, machine learning, optimization models, or related field.

Successful completion of one or more assessments in Python, Spark, Scala, or R.

5 years of experience using open source frameworks (for example, sci-kit learn, TensorFlow, torch).