1

Manager Data Science Analytics Jobs (NOW HIRING)

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a ... Independently complete analyses, draw conclusions, and present results to influence business ...

New

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency ... advertising, management consulting, marketing or digital consulting Knowledge of agency-side ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Drive analytical strategy for major product and business investments, helping teams understand ... Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the ...

About the Team Merchant Analytics helps DoorDash make better product, business, and go-to-market ... About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics ...

You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable ... You demonstrate strong analytical and data-driven decision-making skills, leveraging metrics and ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape ...

And because it's Visa, our data scientists have access to a treasure trove of structured and un ... Provides ad-hoc data analysis support and conducts data studies for Visa account management ...

Showing results 21-40

Manager Data Science Analytics information

See salary details

$31K

$97.1K

$172K

How much do manager data science analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data science analytics in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What do manager data science analytics do?

A manager of data science analytics oversees teams that analyze large datasets to extract insights, support decision-making, and develop predictive models. They coordinate projects, communicate findings to stakeholders, and often have expertise in statistical methods, programming tools like Python or R, and data visualization. Their role involves leadership, strategic planning, and ensuring the effective application of analytics to meet business goals.

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

How much do manager data science analytics managers make?

Manager data science analytics managers typically earn a median annual salary ranging from $110,000 to $150,000, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, statistical analysis, and leadership may offer higher compensation, often exceeding $160,000 annually.

What cities are hiring for Manager Data Science Analytics jobs?

Cities with the most Manager Data Science Analytics job openings:

What are the most commonly searched types of Data Science Analytics jobs?

The most popular types of Data Science Analytics jobs are:

What states have the most Manager Data Science Analytics jobs?

States with the most job openings for Manager Data Science Analytics jobs include:

Manager, Data Science

OneMain

Wilmington, DE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


OneMain Financial rating

7.4

Company rating: 7.4 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

117th of 150 rated financial services


Job description

Manager, Data Science
Location: Wilmington, DE (Hybrid Schedule)
OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.
Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.
Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.
Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.
Responsibilities:
  • Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
  • Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
  • Promote best practices for model development and software design.
  • Communicate and collaborate with cross-functional partners.
  • Work with third-party vendor partners to evaluate data and products and integrate those that that show promise into our data science practices and platforms.
  • Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
  • Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
  • Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:
Technical skills
  • Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
  • Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
  • Strong software development skills covering design, algorithms, optimization, testing, and source control
  • Hands-on experience with building self-contained solutions with clear interfaces
  • Demonstrable mathematical and algorithmic aptitude

Communication
  • Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
  • Ability to identify and convey the essential information in every communication
  • Ability to understand the business intent behind every project and tell the story around it
  • Willingness to propose and defend ideas

Collaboration
  • Experience working in cross-functional teams across a large, multi-stakeholder organization
  • Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
  • Ability to work with teams of diverse individuals focused on several disparate projects simultaneously

Risk management mindset
  • Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
    • Anticipate weaknesses in models, software, and systems
    • Use defensive practices to build robust products (e.g. testing, code review)
    • Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
    • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
    • Understand the importance of monitoring production systems and setting up clear alert systems
  • Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling

Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days' vacation per year)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

What OneMain Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom