Data Scientist

About the role

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments.

Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Responsibilities

• Solves technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge.
• Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior.
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products.
• Translates real-world Healthcare problems to mathematical frameworks.
• Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback.
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role.

Requirements

• Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods.
• Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing.
• Demonstrated competency in R/Python predictive modeling.
• Demonstrated competency in RDBMS (e.g. SQL Server).
• Ability to code in 1+ general purpose programming language (C#, Java, etc.).
• Must be a quick-learner with the ability to multi-task in a fast-paced environment.
• Outstanding presentation abilities and the ability to communicate with all levels of the Business.
• Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills.
• Outstanding communication and interpersonal skills.
• Strong analytical, problem-solving, and writing skills.
• Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred.
• An aptitude for medical informatics is preferred.

Qualifications

• Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior.
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products.
• Translates real-world Healthcare problems to mathematical frameworks.
• Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback.
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role.

Benefits

Competitive total rewards (base salary + bonus, if applicable)

Customizable benefits package (3 medical plans with Health Saving Account company match)

We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays

Paid parental leave (including maternity + paternity leave)

Education assistance opportunities and free LinkedIn Learning access

Free mental health and family planning programs, including adoption assistance and fertility support

401(K) program with company match

Pet insurance

Employee resource groups