Manager Data Science - Remote

About the Role

Key Responsibilities

• Lead and manage a team of professional data scientists, providing direction, coaching, and performance oversight
• Set team direction and adapt departmental plans to meet evolving business and operational priorities
• Perform exploratory data analysis on unstructured, diverse datasets typically measured in gigabytes or larger
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries
• Design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data
• Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data
• Develop innovative solutions driven by exploratory data analysis
• Lead prototype development and contribute to product improvement
• Resolve problems and provide guidance to team members on complex issues
• Perform complex conceptual analyses and provide recommendations for improvement
• Partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids, and business case analysis
• Produce and manage the delivery of activity and value analytics to external stakeholders and clients
• Leverage subject matter expert views in the design of analytics and algorithms
• Forecast and plan resource requirements
• Recommend deviations from standards
• Anticipate customer needs and proactively develop solutions to meet them
• Serve as a key resource on complex and/or critical issues

Requirements

• 4+ years of managerial experience in data science, business intelligence, data analytics, or similar field
• Experience setting team direction and adapting plans to meet business and operational challenges and goals
• Experience performing exploratory data analysis on unstructured, diverse datasets
• Experience explaining what the data shows and clearly communicating recommendations to leadership
• Understanding of accounting controls, processes, and procedures
• Expertise in programming languages like Python, R, Hadoop and SQL
• Proficiency in building predictive models and forecasts
• Proficiency in applying statistical methods and artificial intelligence / machine learning techniques to analyze data and develop predictive models
• Proven advanced analytic, logical thinking, and problem-solving skills

Nice to Have

• Experience influencing forecasting and planning activities across departments
• Background in financial or healthcare analytics environments
• Familiarity with cloud-based data platforms (e.g., Snowflake, Databricks, Azure)
• Track record of delivering scalable, high-impact data science solutions
• Ability to make product, service, or process decisions that impact multiple teams or customer groups

Qualifications

• Educational background is not explicitly specified, but experience and skills are emphasized

Benefits & Perks

• Competitive salary range of $89,800 to $176,700 annually based on full-time employment
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase and 401k contribution
• Remote work flexibility within the U.S.