Job Details

ID #54906648
State Maryland
City Columbia
Job type Full-time
Source Blend360
Showed 2025-12-02
Date 2025-12-02
Deadline 2026-01-31
Category Et cetera
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Director, Data Science

Maryland, Columbia
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We are looking for someone who is passionate about managing the successful delivery of machine learning models, algorithms to solve clients’ business problems (mainly in sales & marketing use cases); someone who has advanced data science subject matter expertise that can help our clients to evaluate different sources of data, discover patterns hidden within raw data, create insights, and develop recommendations to impact clients business outcome. Main Responsibilities:Use data to provide recommendations for the products and services that best fit individual customers, along with the associated value propositionWork with team leaders to get client input & feedback, translate clients business problem into a solvable Data Science exercise, formulate different approaches, outline pros and cons for each approach, get alignment on approaches, deliverables, and overall timeline with clients.Work closely with analytic teams to develop complex algorithms and statistical predictive models to evaluate scenarios and potential future outcomes; leverage problem solving / analytical skills, quantitative expertise, programming and data analysis to identify potential risks related to existing portfolios as well as new products and develop methodologies for tracking and reporting themPerform analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced data science and machine learning techniques and specialized industry expertise and develop analyses and models based on complex energy market indicators and cost componentsApplies analytical rigor & statistical methods to analyze large amounts of data, using advanced statistical techniquesManage large & complex analytical projects: data exploration, model building, performance evaluation & testingCollaborate w/business partners to develop technical/business approaches and new/enhanced technical toolsInteracts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions

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