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Evening Remote Data Science Jobs (NOW HIRING)

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Director of Data Science

Charlotte, NC · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Manager, Data Science

$169.83K - $235K/yr

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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Evening Remote Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do evening remote data science jobs pay per year?

As of May 31, 2026, the average yearly pay for evening remote data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Evening Remote Data Science vs Evening Remote Data Analysis?

AspectEvening Remote Data ScienceEvening Remote Data Analysis
Required SkillsAdvanced statistical modeling, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, task-focused
Industry UsageTech, finance, healthcare, researchBusiness, marketing, operations, finance

Evening Remote Data Science involves complex modeling and machine learning, often requiring programming skills and advanced analytics. In contrast, Evening Remote Data Analysis focuses on interpreting data, creating visualizations, and providing insights with less emphasis on coding. Both roles are remote and flexible but serve different analytical depths and industry applications.

More about Evening Remote Data Science jobs
What cities are hiring for Evening Remote Data Science jobs? Cities with the most Evening Remote Data Science job openings:
What are the most commonly searched types of Remote Data Science jobs? The most popular types of Remote Data Science jobs are:
What states have the most Evening Remote Data Science jobs? States with the most job openings for Evening Remote Data Science jobs include:
Infographic showing various Evening Remote Data Science job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 34% Full Time, 55% Part Time, 2% Temporary, and 7% Contract. Highlights an 57% Physical, and 43% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Manager

Data Science Manager

StubHub

Los Angeles, CA • On-site, Remote

$300K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


StubHub rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 3 rated ticket sellers


Job description

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need to plan team structure and growth as we invest more in ML, especially to understand the best ways to build and apply generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high-performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g., causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader on this team, you will be responsible for shaping and realizing that vision.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

What You'll Do

  • Technical project scoping and planning
  • Partner with cross-functional stakeholders across the business, executives, and data team
  • Technical review and architecture oversight
  • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
  • Surface infrastructure needs and onboard solutions

What You've Done

  • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
  • 8 - 10 years of experience managing high performant data science team.
  • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
  • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  • Nice to Haves:
    • Worked at a consumer tech company
    • Experience with GenAI/LLM/Agentic workflows in a production setting
    • Hands-on experience with graph-based machine learning and recommendation systems

What We Offer

  • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
  • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
  • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
  • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.

Salary Range
$300,000—$400,000 USD
About Us
StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action.
For California Residents: California Job Applicant Privacy Notice found here
We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.