Senior Data Scientist

You will play a leading role in improving data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows.

You may design algorithms that optimize ad targeting, ad creative, and website experience.

• Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
• Take models from concept to production, then monitor and improve them as client data and ad platforms change.
• Work with large, multi-source datasets including:
  • Real time event data from our data collection tag.
  • System of record data from our financial institution clients.
  • Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, Tik Tok, ChatGPT, others)
  • Analytics metadata from other client systems including Google Analytics and Hubspot.
• Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
• Build, test and evaluate machine learning models for attribution, prediction, and optimization.
• Write clean, reproducible, production-quality Python that teammates can read and maintain.
• Explain findings clearly to technical and non-technical colleagues and clients.
• Learn marketing analytics methods from senior teammates and apply them to real client problems.

• Problem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions.
• Overall Professional
  
  Experience:
  
  5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions.
• Machine Learning & Production
  
  Experience:
  
  3-5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments.
• Programming & Data Proficiency: 3-5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets.
• Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients.

• Experience with marketing data and ad platforms such as Google Ads and Meta Ads.
• Experience in the financial industry.
• Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production.
• Research experience.

• Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), OR a Bachelor's degree with 7+ years of relevant applied experience

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit…