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Lead Data Scientist

Universal City, California, United States

Likely evergreen, first seen by us 13 days ago
Pay
$170,000–190,000/yearAnnual period assumed — pay source
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary information: $170,000 - $190,000 (bonus eligible) Additional Information
Read the full posting
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

We're looking for a Lead Data Scientist to be the senior technical leader for our Fandango and Rotten Tomatoes analytics organization.

The business can act on who its customers are.

  • You'll build the models, frameworks, and processes that transform how we deliver data products to the business.

  • You'll own our core modeling work: segmentation, customer lifetime value, retention, and forecasting.

From the employer’s posting
We're looking for a Lead Data Scientist to be the senior technical leader for our Fandango and Rotten Tomatoes analytics organization. You'll build the models, frameworks, and processes that transform how we deliver data products to the business. You'll own our core modeling work: segmentation, customer lifetime value, retention, and forecasting. You will set the methodological standard for how we run experiments. You'll also bring modern AI technical leadership to how we build and ship analytics. This is a senior individual contributor role with organization-wide influence and no direct reports, reporting to the head of the Fandango and Rotten Tomatoes Analytics..
The business can act on who its customers are. Your segmentation work becomes how Product, Marketing, and Content target, personalize, and prioritize.
About the role We're looking for a Lead Data Scientist to be the senior technical leader for our Fandango and Rotten Tomatoes analytics organization. You'll build the models, frameworks, and processes that transform how we deliver data products to the business. You'll own our core modeling work: segmentation, customer lifetime value, retention, and forecasting. You will set the methodological standard for how we run experiments. You'll also bring modern AI technical leadership to how we build and ship analytics. This is a senior individual contributor role with organization-wide influence and no direct reports, reporting to the head of the Fandango and Rotten Tomatoes Analytics.. What you'll accomplish

What you’ll bring

All qualifications

Core experience

  • 7+ years in data science or analytics, including leading technical work as an individual contributor and guiding data-informed strategy.
  • Experience in media, streaming, entertainment, or consumer subscription and transactional businesses.
  • Hands-on expertise in predictive modeling and machine learning, with experience building segmentation, lifetime-value, and forecasting models.
Qualification wording
7+ years in data science or analytics, including leading technical work as an individual contributor and guiding data-informed strategy.
Experience in media, streaming, entertainment, or consumer subscription and transactional businesses.
Hands-on expertise in predictive modeling and machine learning, with experience building segmentation, lifetime-value, and forecasting models.
Apply at Versant

Posting record

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Likely evergreenReposted 2 times since Oct 2, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Oct 22, 202613 days ago
Recorded sightings
52
Last seen by us
Nov 5, 2026
Reposted
2 times since Oct 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

In line with similar jobs

$170K–$190K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 13

Similar jobs usually come down between day 7 and day 56.

At Versant, jobs usually come down by about day 18.

From 10,198 similar postings that came down, and 74 of Versant’s. Coming down is not always a hire.

Versant is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down quickly
  • 56% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
Where the posting names them
- Strong command of experimentation and causal inference, and experience setting those standards for an organization. - Expert SQL and a modern data science toolkit, with a solid grasp of pipelines and data modeling. - Technical leadership experience, including AI technical leadership. You've integrated AI tools to redesign workflows and drive measurable impact.

Your next step

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Has Versant posted this job before?

Yes. We’ve followed 2 other Lead Data Scientist jobs there since October 2026. 2 came down, usually after about 10 days.

  1. Universal CityCame down after 0 days, first seen Oct 2
  2. Universal CityCame down after 19 days, first seen Oct 3
  3. This jobUp 14 days so far, first seen Oct 22

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

About the role

We're looking for a Lead Data Scientist to be the senior technical leader for our Fandango and Rotten Tomatoes analytics organization. You'll build the models, frameworks, and processes that transform how we deliver data products to the business. You'll own our core modeling work: segmentation, customer lifetime value, retention, and forecasting. You will set the methodological standard for how we run experiments. You'll also bring modern AI technical leadership to how we build and ship analytics. This is a senior individual contributor role with organization-wide influence and no direct reports, reporting to the head of the Fandango and Rotten Tomatoes Analytics..

What you'll accomplish

  • The business can act on who its customers are. Your segmentation work becomes how Product, Marketing, and Content target, personalize, and prioritize.
  • We invest against long-run value. Your customer lifetime value models let the business weigh acquisition spend, retention investment, and content decisions against what a customer is actually worth.
  • We can predict who stays and who leaves. Your retention modeling gives the organization a forward-looking view instead of a rear-view mirror.
  • The business can plan with confidence. Your forecasts come with clear assumptions, drivers, and accuracy.
  • Our experiments are statistically sound. You own the methodology and causal-inference standards, so the conclusions we draw hold up.
  • Every team member gets better. The frameworks, reusable models, and standards you build raise the rigor and speed of the entire team's work through your mentorship.
  • We ship data products, not one-off analyses. You change how we deliver to stakeholders, moving toward durable, scalable, self-service products people trust and adopt.
  • AI meaningfully changes how we work. You identify where AI can redesign analytical workflows, build those solutions, and deliver measurable gains in speed and quality.
  • We do this responsibly. You champion sound AI practices, risk assessment, and bias mitigation.

 

Qualifications

What you'll bring

  • A degree in a quantitative or technical field, or equivalent practical experience.
  • 7+ years in data science or analytics, including leading technical work as an individual contributor and guiding data-informed strategy.
  • Hands-on expertise in predictive modeling and machine learning, with experience building segmentation, lifetime-value, and forecasting models.
  • Strong command of experimentation and causal inference, and experience setting those standards for an organization.
  • Expert SQL and a modern data science toolkit, with a solid grasp of pipelines and data modeling.
  • Technical leadership experience, including AI technical leadership. You've integrated AI tools to redesign workflows and drive measurable impact.
  • Proven success working across Product, Engineering, Marketing, and Finance.
  • Exceptional problem framing and communication. You turn complex modeling into recommendations senior leaders act on.
  • A track record of mentoring and raising the technical capability of other analysts or scientists.

Preferred

  • Experience in media, streaming, entertainment, or consumer subscription and transactional businesses.
  • An advanced degree in a quantitative field.

Additional Information:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.
  • Salary information: $170,000 - $190,000 (bonus eligible)

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Source details

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Pay
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary information: $170,000 - $190,000 (bonus eligible) Additional Information
Location & working pattern

Universal City, California, United States

Additional Information: - Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. - Salary information: $170,000 - $190,000 (bonus eligible)
Work authorization
Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

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