Kforce has a client that is seeking a Senior Data Scientist in Mooresville, NC.
Key Responsibilities:
Senior Data Scientist mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital products and or services
Supports the generation of an automated insights generation framework for business partners to effectively interpret data
Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services
Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics
Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive advantage
Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects
As a Senior Data Scientist, you will contribute subject-matter expertise on automation and analytical projects, collaborating across functions
Translates requirements into an analytical approach; Asks the right questions to understand the problem; Validates understanding with Stakeholder or Manager
Contributes for building the analytic approach to solving a business problem; Helps identify the sources, methods, parameters, and procedures to be used; Clarifies expectations with stakeholders
Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; Communicates with stakeholders to provide updates
Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business
Executes plans for measuring impact based on discussions with stakeholders, partners, and senior team members
Executes projects with full adherence to enterprise project management practices
REQUIREMENTS:
Bachelor's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field and 4 years of experience in analytics and 2 years of programming experience (Python, Java, Scala, Rust, etc.); Or Master's degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field and 2 years of experience in analytics and 1 year of programming experience (Python, Java, Scala, Rust, etc.); Or Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field and 1 year of experience in analytics
Knowledge of SQL and various statistical modeling or machine learning techniques
Scope for Request:
Automation and algorithm driven experiments
Advanced analysis and statistical inference
Managing experiments
A/B Testing, experimentation
Technical Competencies:
Data Gathering and Analysis
Big Data Computing
Cloud Computing
Software Development
Big Data Management and Analytics
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
