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Sr. Data Scientist

Posted on Jan 14, 2021 by NTT DATA SERVICES

Cary, NC
IT
Immediate Start
Annual Salary
Full-Time

Sr. Data Scientist Cary, NC (Currently Remote) Position Overview: - 50%: Conduct analytical research and develop prototypes. - 20%: Deliver analytical projects by: - Working with project managers to define schedule and deliver results to all customers and internal stakeholders and managing expectations - Collaborating with IT to deploy prototypes appropriately - Creating and documenting repeatable solutions for meeting ongoing customer needs - Communicating the results and methodology to internal and external stakeholders - 20%: Gather, interpret, and translate customer needs into business problems that can be solved with analysis requirements by: - Working with business stakeholders and/or facilitate data analysis opportunity discussions - Leading solution analysis, definition, and requirements gathering for data services - Prioritizing data analysis - 10%: Provide analytical expertise to short-term and ad hoc requests and contribute to collaborative data analyses - Ad hoc requests - Collaborate with other data scientists to drive data analysis methodology, repeatable and structured - Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions - Takes the lead on analytical projects, and may lead the projects of other analytical consultants - Work with manager to finalize priority and deadlines, and adjust & communicate as necessary Requirements: - Superior analytical skills with working knowledge of basic statistical, predictive and optimization models - Strong knowledge of SAS or other statistical tool language (Python, R, etc.) - Superior problem solving skills - Superior data preparation skills; be able to access, transform and manipulate customer data in its base form - Strong knowledge of data visualization tools to present models and results to internal and external stakeholds - Strong verbal and written communication skills - Knowledge of machine learning models a plus - Knowledge of big data engineering toolsets a plus - Ability to work effectively with clients, IT management, business management, project managers, and IT staff - Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible - Ability to work independently and jointly in unstructured environments in a self-directed way - Ability to take a leadership role on engagements and with customers - Strong teamwork skills and ability to work effectively with multiple internal customers Additional Requirements - Bachelors degree in quantitative field (data science, mathematics, statistics, operations research, engineering) required or in lieu of a degree a minimum of 11-14 years of relevant experience - Advanced degree in quantitative field preferred - A minimum of 10 years related work experience - Strong statistical analysis and methodology experience The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The company will consider all qualified applicants for employment without r egard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.


Reference: 31728877

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