Data Science Analyst - Python and Machine Learning

About the Role

Key Responsibilities

• Solve business problems for Retail/CPG clients through data-driven insights.
• Communicate data-derived insights effectively to non-technical audiences.
• Mentor junior consultants and data scientists.
• Refine user requirements and analyze data to answer business queries.
• Develop and implement data mining, visualization, statistical modeling, pattern recognition, and optimization solutions.
• Advise clients and internal teams on analytical models, platforms, and approaches for complex business problems.

Requirements

• Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in lieu of education.
• Located within commuting distance of Redmond, WA, Bellevue, WA, Richardson, TX, Indianapolis, IN, or Raleigh, NC, or willing to relocate; this is an on-site position.
• Willingness to travel within the US.
• Authorized to work in the United States.
• At least 4 years of experience in Information Technology.
• At least 4 years of experience in Data Science/Analytics.
• At least 4 years of experience in SQL for developing data pipelines.
• Proven ability to create data pipelines to source and transform data.
• At least 3 years of hands-on experience with ML coding in Python, including forecasting with time series and ML models (e.g., ARIMA, ARIMAX).
• At least 4 years of experience working with Big Data Platforms, specifically Azure.
• At least 3 years of experience with platforms similar to COSMOS (Scope) or Databricks (PySpark).

Nice to Have

• MBA or MS from a prestigious university in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering, or Physics.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Proven experience with GenAI and Large Language Models (LLM).
• Stay up-to-date with the latest research and advancements in High-Tech, ML/AI domains.
• Strong communication and analytical skills.
• Ability to work in diverse, multi-stakeholder teams in a global delivery environment.

Qualifications

• Bachelor's degree or equivalent; or three years of relevant experience in lieu of degree.
• Experience in Data Science, Analytics, SQL, Python ML coding, and Big Data platforms.

Benefits & Perks

• Medical, Dental, Vision, and Life Insurance.
• Long-term and Short-term Disability coverage.
• Health and Dependent Care Reimbursement Accounts.
• Insurance options including Accident, Critical Illness, Hospital Indemnity, and Legal.
• 401(k) plan with contributions based on salary level.
• Paid holidays and Paid Time Off.