Associate, Data Science

Horizon Media • New York, NY

17d • $100,000 - $120,000 • Hybrid

About The Position

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. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. 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.

Requirements

• BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required.
• 0-2 years relevant experience, preferably in a media, marketing or digital advertising environment.
• Working knowledge of Big and basic data mining routines a must.
• Expert knowledge in an analytic and programming language such as Python, R, or a similar language
• Persistence: Demonstrate t enacity and willingness to go the distance t o get new things done.
• Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision.
• A team player who can work collaboratively within the group and across business units/functions.
• Strong verbal communication skills, extremely well-organized.
• Business acumen – understands the strategic levers of the business and how analytics is a catalyst for decision making.

Nice To Haves

• Working knowledge of Predictive and Machine Learning a plus.

Responsibilities

• 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
• 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
• Product Innovation & Management Become a power user to drive continuing improvement in the analysis and results supported by AI and the custom solutions built on top and around those Experience working with and/or managing teams in product development Consider design principles that scale and can be repeatable and/or extensible to other clients or industries Participate in Product release management processes, including all levels of testing (Alph, Beta, QA, UAT) Propose features, models, queries and requests and often “proof of concepts" for Product enhancement and future capabilities

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees