Job Description for Senior Data Scientist - Product

Status: Exempt, Full Time

Reports to: Senior Director, VBC Products

The Company

Gray Matter Analytics is a rapidly growing early-stage company headquartered in Chicago, with offices in New York and Atlanta. Our Value-Based Care (VBC) Analytics Solutions provide value in three distinct ways.

We partner with customers to deliver advanced analytics solutions that optimize value-based care performance tied to value-based contracts.
We identify areas of non- or underperformance and where dollars are at risk and where upside opportunities can be leveraged.
Our solutions provide data insights for key stakeholders to have visibility into cost and quality drivers, with the goal of enabling providers and payors to align on patient/member gaps in care.

We transform healthcare organizations into data and insights-driven enterprises. We bring the right insights to the right stakeholder at the right time to improve decision making and outcomes, lower cost, improve quality and enhance VBC performance.

We are a diverse team of professionals, working to develop advanced analytics solutions that can help mitigate healthcare inequity issues through predictive, actionable insights.

Essential Job Functions

Gather, analyze, and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making.
Adapt existing methods and procedures to create possible alternative solutions to moderately complex problems
Approach problems in a systematic way with the ability to work collaboratively with other team members
Manage small teams and work efforts with clients and/or within Gray Matter Analytics
Identify and synthesize new use cases for clients to use their data and data science methods to create a competitive advantage
Produce detailed project documentation and contribute to the consulting knowledge base
Produce and deliver presentations on project findings and results that are suitable for a variety of technical audiences from peer data scientists to business executives with limited analytical skills
Research and remain up to date on emerging machine learning methods, algorithms, tools and use cases, and seek to apply them to clients' benefit

Qualifications & Desired Skills

Minimum of seven years of experience of designing and building data science applications in a real-world business context, including classification, prediction, clustering and segmentation, market basket analysis, text mining and topic modeling, recommendation engines and many others
Advanced degree preferred (e.g. MBA, MHA, MPH)
An advanced STEM degree (PhD or MS) is a plus
Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics or Finance required
Hands-on experience with statistical and data mining software packages (e.g. Python - SciPy, NumPy, Pandas, SciKit-Learn, R, Alteryx, SPSS, SAS, etc.)
Knowledge of a variety of statistical modeling and machine learning algorithms as well as their practical application
Experience or exposure to optimization methods, linear programming and other forms of mathematical modeling is a plus
Experience deploying predictive models into closed-loop or automated business with process or in a real-time context is a plus
Exposure to a variety of machine learning frameworks and distributed computing architectures (e.g. Spark, Hadoop)
Experience in applying design thinking and methods for data science is a plus
Ability to bring clarity to ambiguous situations and explain abstract concepts to all levels of stakeholders

Gray Matter Analytics is an Equal Opportunity Employer. Gray Matter Analytics does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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Senior Data Scientist