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. 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) 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.

Requirements

Must-haves

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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsql

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off