Data Scientist II

Horizon Media•New York, NY

2d•$125,000 - $165,000•Hybrid

About The Position

Horizon Commerce, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media in conjunction with their digital storefront, providing data-driven insights that inform brands’ entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON, uses an ensemble of advanced models to provide Budget (budget rebalancing across channel-tactic level) and Tactical (in-campaign) optimizations to holistically improve advertiser performance. This full time opportunity is for a talented data scientist to work client-related services work in the area of media performance analytics, eventually transitioning these capabilities into the NEON product. 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 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. This level of the position and the rate for this position will be commensurate with experience.

Requirements

At least 5 years experience in 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

Responsibilities

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 & 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 of 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 featureset in addition to ones being built in the ensemble of models.