Data Scientist Senior Consultant
About The Position
Help clients maximize the value of their data across the full analytics lifecycle, including data querying and wrangling, data visualization and business intelligence (BI), predictive analytics, machine learning, and artificial intelligence Support clients in defining information strategy, data architecture, and data governance Implement enterprise analytics and data management solutions that enable actionable insights, reduce cost and complexity, increase trust and data integrity, and improve operational effectiveness Lead and coordinate internal teams to deliver high‑quality, client-focused solutions Engage directly with clients and communicate confidently about data products, analytics methodologies, and industry trends Operate effectively in a high‑visibility, client-facing role within a dynamic consulting environment
Requirements
- A Bachelor's Degree is required
- A minimum of THREE (3) years of experience in data science or data analytics is required
- Proficiency in querying data using SQL
- Experience performing statistical modeling, predictive analytics, or machine learning using Python or R
- Experience integrating AI/ML solutions (e.g., LLMs, predictive models) into production applications
- Ability to consult with clients to identify analytics needs and drive solutions forward
- Experience leading or supporting small teams and managing client relationships
Nice To Haves
- Experience delivering analytics solutions in healthcare, public health, or federal health IT environments
- Master's Degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline
- Relevant technical certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer, Snowflake SnowPro, or similar)
- Experience deploying AI or machine learning models into production environments
- Experience with DevOps practices, including Infrastructure as Code (Terraform or Bicep) and automated deployment pipelines
Responsibilities
- Help clients maximize the value of their data across the full analytics lifecycle, including data querying and wrangling, data visualization and business intelligence (BI), predictive analytics, machine learning, and artificial intelligence
- Support clients in defining information strategy, data architecture, and data governance
- Implement enterprise analytics and data management solutions that enable actionable insights, reduce cost and complexity, increase trust and data integrity, and improve operational effectiveness
- Lead and coordinate internal teams to deliver high‑quality, client-focused solutions
- Engage directly with clients and communicate confidently about data products, analytics methodologies, and industry trends
- Operate effectively in a high‑visibility, client-facing role within a dynamic consulting environment
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
