Data Scientist II

Job Summary

Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other media subject matter experts and NEON team members across client success, engineering, product, and data engineering.

Role will require hands‑on programming skills. The projects this position will work on include (but are not limited to) a range of incrementality measurement modeling, automated bid management and channel management artificial intelligence (AI) use cases such as: multivariate digital storefront and A/B testing, product detail page (PDP) copy optimization, conversion rate optimization, brand store management/versioning, image/video classification and object detection, predictive scoring using categorical or labelled datasets, and targeting strategies.

The level of the position and the rate for this position will be commensurate with experience.

• Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform.
• Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient.
• Work alongside product leads, business leads, data scientists, data engineers, front‑end developers, and designers.
• Incorporate multiple 3rd party APIs and other datasets from different sources into one (or more) custom‑developed measurement and display systems.
• Demonstrated ability to extract business insights from large datasets and use them to drive business change.
• Mine, aggregate and analyze data from databases to drive optimization and improvement.
• Familiarity with a variety of machine learning techniques (LLM application, clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real‑world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Help build and validate requirements and use cases between the core NEON team and the various SME stakeholders (i.e., media planners, activation teams, channel management, customer experience, etc.).
• Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the use cases to complement NEON feature set in addition to ones being built in the ensemble of models.

• At least 5 years experience in a full time client analytics role.
• Experience in working with client services teams and communicating technical findings directly with client technical team members.
• Domain expertise in the areas of media planning, retail campaign optimization, and conversion rate optimization strategies.
• Deep expertise in Python (and libraries), SQL.
• Strong programming experience and knowledge of Git, Snowflake, AWS infrastructure, etc.
• Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands‑on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs.
• Independently motivated to conceptualize and execute proactive client analysis.
• Existing skill sets in machine learning, computer vision and product development.
• Communication skills and an ability to collaborate with clients.
• Hold an undergraduate degree in math, statistics, computer science or other technical degree.
• Superb problem synthesis and communication skills.
• Keen attention to detail and data integrity.

Salary Range $ - $. A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency‑based hiring approach.

We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.