Senior Data Scientist - Finance

Our purpose is to serve the nation with the single most trusted and capable health information network, built to increase patient safety, lower costs and ensure quality care.

Job Summary:

Surescripts is the nation's most trusted and capable health information network, handling nearly 20 billion transactions per year. It's an exciting place to be if you work with data.

The Senior Data Scientist, Finance role is primarily responsible for developing new analytical capabilities across Financial Planning & Analysis (FP&A) and Finance, including the design of visual, predictive, and prescriptive analysis to drive business results. This role will contribute to the identification and communication of key insights utilized by leadership and the broader finance team(s) to execute our financial strategy. The development of new financial processes, models, and visualizations will be a key component of the role. In addition, the incumbent will be expected to partner with the Business Intelligence team and broader Corporate data science / analysis initiatives to maintain community and develop best practices in Finance.

Responsibilities:

• Apply data science techniques on disparate financial data sources to generate insights to execute the Company’s financial strategy and initiatives.

• Develop financial models and predictive analytics, specifically contributing to the Company’s ability to deploy its annual budget, quarterly forecasts, and strategic long-range plan.

• Work cross functionally and engage stakeholders from various teams (Business Intelligence, Customer Group, Product Innovation, Strategy) to elevate the level of data driven insights and decision-making capabilities, and present findings and assumptions to key stakeholders.

• Develop new capabilities including dashboards and flash reporting to support issue resolution, insight generation and decision making.

• Enhance financial analytical capabilities and insights effectiveness around product margins, cost management and customer financials.

• Identify opportunities to accelerate revenue growth by leveraging machine learning, text mining, and statistical analysis.

• Research and share new analytic techniques and tools to increase the capability across the finance organization.

• Share analytics tools and techniques with the broader organization analytics team and business partners to enhance the organizational finance and analytics acumen.

• Partner with finance colleagues to present findings, assumptions, and recommendations to key stakeholders.

Qualifications:

Basic Requirements:

• Bachelor’s degree or equivalent experience

• 5+ years of experience as a Quantitative Analyst, Data Scientist, Statistician, or similar role

• 3+ years of experience with data scripting languages and querying languages (e.g. SQL, Python, R, etc.)

• 3+ years of experience articulating business questions and using quantitative modeling and statistical analysis techniques to arrive at a conclusion

• Advanced knowledge of Tableau or other visualization tools

• Proven ability to work independently and as part of a cross-functional team required

Preferred Qualifications:

• Financial analysis and modeling

• Experience working with financial data, systems, or statements

Locations: Arlington, VA, Minneapolis, MN, Raleigh, NC