About
+ Design and execute rigorous incrementality and lift tests (including geo experiments, holdout tests, and A/B tests) to measure the true causal impact of marketing interventions
+ Apply Bayesian modeling and causal inference methods to analyze test results, quantify uncertainty, and produce actionable recommendations for marketing spend optimization
+ Own the end-to-end testing process, from proactively structuring experiment designs and clearly defining hypotheses and expected business impact, through execution, analysis, and stakeholder communication of results* **Media Mix Modeling & Attribution:**
+ Develop and maintain advanced media mix models and attribution systems to assess the impact of digital marketing channels and track touchpoints throughout the customer journey
+ Collaborate with cross-functional teams to align models with business goals and ensure comprehensive, accurate data inputs* **Bayesian Modeling:**
+ Design, develop, and maintain Bayesian statistical models as the primary analytical approach across marketing science projects, with a focus on quantifying uncertainty and informing decision-making
+ Apply probabilistic programming tools (PyMC preferred) to build and iterate on models; clearly document methodology, assumptions, and outputs for both technical and non-technical audiences
+ Regularly validate and refine models to ensure accuracy; proactively identify opportunities for optimization and propose data-driven solutions to enhance performance* **Data Analysis and Visualization:**
+ Utilize statistical and machine learning techniques to derive insights from large datasets
+ Translate findings into clear, compelling outputs (including dashboards, reports, and stakeholder presentations) and effectively communicate results to both technical and non-technical audiences across marketing, analytics, and technology teams* **Collaboration and Communication:**
+ Work closely with marketing, analytics, and technology teams to understand data requirements for both marketing and personalization initiatives
+ Clearly communicate complex findings and algorithmic recommendations to non-technical stakeholders**What you can bring:*** 2-4 years of work experience as a Data Scientist* Fluent in R or Python (Python preferred), SQL, and Git* Proven experience in media mix modeling, media attribution, and incrementality testing, ideally gained within a measurement vendor, media agency, or sophisticated in-house marketing science function, with familiarity in how measurement solutions are scoped, delivered, and communicated to stakeholders* Hands-on experience designing and analyzing marketing experiments, including A/B tests, lift tests, and geo experiments; strong command of causal inference methods for interpreting results in real-world, non-ideal conditions* Strong foundation in statistical modeling, with hands-on experience in Bayesian methods and probabilistic programming (PyMC or equivalent)* The ability to understand and implement publications in the fields of Data Science/Machine Learning as applied to marketing* Strong communication skills with the ability to clearly articulate complex topics, project status, methodology, and next steps to both technical and non-technical audiences, including a structured approach to diagnosing and resolving blockers independently* Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.**Preferred Qualifications:*** Advanced degree in Statistics, Computer Science, Econometrics, or related fields* Experience designing geo experiments or market-level tests for measuring marketing effectiveness at scale* Experience with data visualization tools such as Tableau* Familiarity with marketing tech stack and digital data technologies (Google Analytics, pixel tracking, etc.)* Experience in e-commerce, subscription models, and/or direct-to-consumer brands**Where we are:*** This role will be based in our El Segundo Headquarters**Compensation & Total Rewards:**At Fabletics, we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well-being, families, and ultimately their life journey. Total Rewards at Fabletics includes:-Hybrid Work Schedule\*-Discretionary Paid Time Off\*-Summer Fridays\*-Healthcare Plans-Employee Discounts-401k-Annual Bonus Program-Equity Program\*-And More\*Varied for retail, fulfillment and fully remote roles.The annual base salary range for this position is from $110,000-$125,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate’s related work experience, subject matter expertise and work location.#LI-LS1#LI-Fabletics**Security Alert: Protect yourself from scams**At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives #J-18808-Ljbffr
Languages
- English
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