Director, Data Science

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 proposition
• Work 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 them
• Perform 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 components
• Applies analytical rigor & statistical methods to analyze large amounts of data, using advanced statistical techniques
• Manage large & complex analytical projects: data exploration, model building, performance evaluation & testing
• Collaborate w/business partners to develop technical/business approaches and new/enhanced technical tools
• Interacts 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

• MS or PhD degree in quantitative studies, such as Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Science, Engineering
• Strong quantitative and analytics background, including advanced-level skillset in predictive modelling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization.
• 8-10 years’ professional experience working in FiServ, Insurance, Hospitality and Retail industries on applying data science and analytics in sales and marketing applications.
• Familiarity with digital marketing ecosystem. Extensive experience in email marketing, digital marketing, and call center analytics and direct marketing are preferred. 
• Experience with one or more Advanced Data Science software languages (Python, R)
• Experience with structured or un-structured data analysis and tools (SQL, Spark, Tableau, Power BI tools)
• Experience with cloud-based platforms (AWS, Azure, Google)
• Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form
• Strong organizational, management and leadership skills. Experience managing and mentoring junior resources across different geo-locations.