Associate, Data Science

horizonmedia; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Horizon Media, a leading advertising firm, seeks an Associate in Marketing Science to apply advanced statistics and data science techniques to build targeted audiences for client campaigns. You will work with data, ML, and our blu. Platform to deliver actionable insights and scalable solutions.

Collaborating with various agency groups, you will translate complex analyses into actionable business decisions, using Python/R and visualization tools to communicate results and impact.

Qualifications

• Strong background in statistics, data science, and ML to build audience insights.
• Experience with Python/R and data visualization for storytelling.
• Experience with AI and large datasets; collaboration with agency groups.

Responsibilities

• Design and innovate with structured and unstructured data.
• Build end-to-end data science solutions for non-data-science audiences.
• Generate clear analyses that tell the story behind the data.
• Data transformation/mining and deriving insights to explain audience performance.
• Data join between blu audiences, media exposure and conversion events.
• Analyze audience conversion to KPIs.
• Leverage AI to accelerate analyses.
• Foster audience development and measurement capabilities.
• Apply time series, Bayesian analysis and causal inference.

Skills

Advanced statistics

Data science

Machine learning

NLP (sentiment analysis)

Data visualization

Critical thinking

Effective communication

Education

Bachelor's degree in a quantitative field

Tools

Python

R

SQL

Tableau

Job description

Job Description

Who We Are

Horizon Media , founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging.

At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.

What Is blu.

blu. is Horizon's omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients' existing tech.

Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization.

Job Summary

The Associate, Marketing Science's main responsibility is to use advanced statistics and data science techniques to build qualified audiences for our client's campaigns. This person will apply sophisticated data science, modeling, and other advanced analytics techniques to help guide our clients' audience strategy to make their media campaigns resonate better and be more effective. Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a contributor and often "proof of concept" to Product enhancement and future capabilities.

In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of Agency groups. They must be intellectually curious with the drive and experience to identify, frame and solve business problems. They must be a critical thinker who can provide creative strategic solutions and who can follow-through with flawless execution. Highly driven with an exceptional work ethic, determination to overcome complex challenges, and a desire to have huge impact on the business.

Responsibilities

30% Solutions Design & Innovation

Ability to understand and leverage blu. structured and unstructured data

Ability to build end-to-end data science solutions for a non-data science audience

Ability to generate clear, concise and comprehensive analyses that tell the story behind the data!

Data transformation/mining and generation of insights to explain audience performance and inform optimization

Data join process between blu audiences, media exposure and conversion events to build feedback loops

Analysis of audience conversion to KPIs

Increasingly utilize AI solutions to inform and expedite some or all of the required analysis

60% Technical & Analytical Excellence

Audience Development

Machine Learning, Data Mining with Machine Learning with large datasets of Structured and Unstructured data. Data Validation, Predictive modeling, data visualization techniques.

NLP for sentiment analysis

Mathematical and Statistical libraries in Python and/or R

Experience in importing/exporting data for relational databases

Measurement

Time series

Bayesian analysis

Causal Inference

Familiarity with relational databases

Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot.

Knowledge of the data dictionaries and taxonomies of structured data sets

Cluster & Factor analysis

Ability to perform advanced data visualization

10% Product Innovation & Management

Become a power user to drive continuing improvement in the analysis and results supported by AI and the custom solutions buil