• Apply the appropriate methods, models and analysis based on clients' business needs.
• Gather and integrate business information and data into appropriate models and tools to support the development of solutions.
• Communicate technical engineering solutions and results into appropriate business language for clear client understanding.
• Prepare proposals, statements of work, project logs and presentations.
• Collaborate with other associates on projects.
• Document project assumptions, approaches and results, including net savings and profits.

• Master degree or PhD in data science, computer science, information systems, mathematics or related field.
• Four to six years of data science experience.
• Able to build effective business relationships with customers and other associates.
• Knowledge of statistical modeling and solution techniques.
• Able to understand the uses and limitations of statistical methodologies such as time-series forecasting, logistic regression, random forests, k-means clustering, Bayesian methods and machine learning.
• Able to learn and utilize statistical programming languages and tools such as R, SAS, Python SQL, SPSS and Tableau.
• Able to effectively communicate technical information and concepts to non-technical audiences.

• Medical, dental and vision insurance.
• Company paid life insurance.
• 401(k) savings plan with company match.
• Paid time off and paid holidays.
• Results-based incentive pay program where you can earn above and beyond your base pay.
• Tuition reimbursement.
• See full list of information technology benefits.

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