Lead Data Scientist

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 The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.

The Lead Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

• The role requires an in-depth understanding of how organization capabilities interrelate throughout the enterprise. This role will create reports, projections, models, and presentations to support business strategy and tactics.
• This role influences department’s strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision.
• Exercises considerable latitude in determining objectives and approaches to assignments.
• Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics.
• Develop, maintain, and collect structured and unstructured data sets for analysis and reporting.
• Research and evaluate innovative analytical methodologies, approaches, and solutions.
• Collaborate with business, analytics, and data teams to set objectives, approaches, and work plans.
• Interpret and communicate analytic results to analytical and non-analytical business partners.
• Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas.
• Compile and present regular and ad-hoc project status reports.

Use your skills to make an impact
 

Required Qualifications

• Bachelor's Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field

• 3 years of advanced data analytics with experience creating reports, projections, models, and presentations to support business
• Working knowledge of Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools
• Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting 
• Experience in cloud computing, Azure, Google Cloud, or AWS
• Experience in developing, maintaining, and collecting large structured and unstructured data sets for analysis and reporting
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