Senior Data Scientist

Compensation

: $92,630.00 - $149,510.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Job Description Senior Data Scientist

Our client is seeking a Senior Data Scientist located in Scottsdale, Arizona. This is a permanent position with tremendous potential for growth. We are looking to hire a hands-on scientific mind to implement optimization solutions, high performant models, and custom solution building. The candidate must be comfortable with Python, data visualization, algorithms, and testing methodology. You will develop measurement, elasticity, and problem-solving solutions in the retail space.

Activities

  • Retail Optimization
    • Implement state of the art retail solutions
    • Identify and elaborate on improvements to existing algorithms and models
    • Create custom science solutions for unique problems
  • Modeling and Refinement
    • Develop and implement tools and procedures to improve modeling accuracy
    • Build visualization and tables exploring opportunity and value provided
    • Validate and improve forecasts, confidence intervals, and learning models
  • Science Team Growth
    • Support other scientists on varied projects
    • Contribute to the growth and development of the science team

Required Skills

  • Excellent problem solving and critical thinking abilities
  • Knowledge, experience, or proficiency with:
    • Python
    • Data Wrangling
    • Modeling
    • Forecasting
    • Data visualization
    • Confidence evaluation
  • Strong analytical skills in math and science
  • 5+ years experience in data science

Desired Skills

  • Knowledge, experience, or proficiency with:
    • Retail pricing, merchandising, and category management
    • Linux operating systems
    • GCP Kubernetes
    • C / C++
  • Cross-functional software team experience including professional services, science, and development
  • Takes initiative to identify and address issues and opportunities, and proactively contributes to the business
  • Displays superior business acumen and communications skills to work effectively with corporate leadership teams. Adds value to the organization and ability to liaise effectively between technical and non-technical stakeholders
  • Masters degree in quantitative field (math, engineering, science, or economics)


Job Requirements:

Associated topics: data analytic, data integration, data management, data quality, data scientist, data warehouse, etl, hbase, mongo database, sql * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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