Senior Level Data Science Specialist Jobs
Senior level data science specialist jobs place experienced professionals in ownership of analytical strategy, model architecture decisions, and the cross-functional teams or projects that deliver data-driven results. Openings concentrate in Technology & Software, Banking & Financial Services, and Education, with a mix of on-site, hybrid, and remote roles, and employers like Capital One, Lyft, and Plaid hiring at this level now.
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Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
Modivcare is looking for an experienced Principal, Pricing Analytics and Decision Science to join our team. In this role, you will help transform the pricing function from a largely spreadsheet-based process into a more connected, data-driven operating model through advanced financial modeling, SQL-based analysis, automation, and AI-enabled workflows.
This is an opportunity to directly impact pricing accuracy, financial performance, and commercial decision-making by developing analytical models, evaluating contract economics, and identifying opportunities to improve pricing processes.
We're looking for a highly analytical, hands-on professional with strong financial modeling, SQL, and problem-solving skills. The ideal candidate is comfortable working independently with complex datasets, challenging assumptions, and collaborating across teams to deliver meaningful business insights.
You will...
- Build and enhance complex pricing and financial models.
- Independently query and analyze large datasets using SQL.
- Translate utilization, membership, transportation cost, operational cost, and contract assumptions into financial outcomes.
- Perform scenario, sensitivity, downside, and break-even analysis.
- Investigate actual contract performance versus original underwriting assumptions.
- Develop reusable benchmarks and analytical methods.
- Reduce manual analytical work through automation.
- Apply AI appropriately to data analysis, research, model development, QA, and workflow improvement.
- Partner with Pricing, Underwriting, Finance, Operations, Data, and Technology teams as we build the future-state pricing capability.
We are excited to speak to someone with...
- Bachelor’s degree in a related field required.
- Seven (7) plus years relevant experience in pricing analytics, commercial analytics, decision science, financial analytics, underwriting analytics, healthcare economics, strategic finance, or similar quantitative roles.
- Or equivalent combination of education and/or experience.
- Expert-level Excel financial modeling.
- Ability to build sophisticated models from scratch, including scenario and sensitivity analysis.
- Strong hands-on SQL capability.
- Experience working directly with large or complex datasets.
- Strong understanding of P&L economics, unit economics, margin, forecasting, and financial drivers.
- Ability to identify data issues, reconcile conflicting information, and challenge assumptions.
- Strong executive communication skills.
- Demonstrated ability to work independently in ambiguous environments.
- Python or R experience preferred.
- Experience with Power BI, Tableau, Alteryx, Databricks, Snowflake, Fabric, or similar analytical platforms preferred.
- Experience using generative AI in analytical or financial workflows preferred.
- Experience with automation or process redesign preferred.
- Healthcare, insurance, transportation, logistics, marketplace, or other complex network-business experience preferred.
- Experience comparing forecast or underwritten results to actual operating performance preferred.
Salary: $110,000-$149,500
This role is bonus eligible based on individual and company performance.
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
Modivcare is an Equal Opportunity Employer.
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Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com
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Find JobsSenior Level Data Science Specialist Job Market
Who's Hiring
- Capital One12

- Lyft4

- Plaid3

- Stripe2

- Amazon2

Top Industries Hiring
- Technology & Software14
- Banking & Financial Services9
- Education8
- Biotechnology & Pharmaceuticals5
- Insurance4
Senior Level Data Science Specialist Jobs: Frequently Asked Questions
How do I get a senior level data science specialist job?
Employers hiring at this level look for candidates who have owned end-to-end machine learning or analytics projects, not just contributed to them. Demonstrating that you have set technical direction, mentored junior team members, and translated complex model outputs into business decisions gives you a clear edge. A portfolio of deployed work and cross-functional stakeholder experience matters more than credentials alone at this stage.
Which companies hire senior level data science specialists?
Companies hiring senior level data science specialists right now include Capital One, Lyft, and Plaid, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large technology firms, financial institutions, healthcare organizations, and consulting groups that run mature data science practices and need specialists who can lead within them.
Are there remote senior level data science specialist jobs?
Yes, remote and hybrid availability is strong at this level. About 41% of senior level data science specialist openings are remote or hybrid as of November 2026, reflecting the technical independence that experienced specialists bring. On-site roles do exist, particularly at companies where data work intersects closely with proprietary infrastructure or regulated environments.
What makes a data science specialist role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this stage, you are expected to set the analytical approach for a project, make architecture decisions, evaluate model trade-offs independently, and guide less experienced team members. Senior specialists are also typically responsible for communicating findings to non-technical leadership and influencing business strategy with data-backed recommendations.
Which industries hire the most senior level data science specialists?
Senior level data science specialist roles concentrate in Technology & Software, Banking & Financial Services, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at a scale and complexity that requires specialists who can build and maintain production-grade models, govern data pipelines, and connect analytical outputs directly to strategic decisions.