Associate, Data Science

Horizon Media•New York, NY

7d•$100,000 - $120,000•Hybrid

About The Position

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
Working knowledge of Predictive and Machine Learning a plus.
Persistence: Demonstrate tenacity and willingness to go the distance to 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.

Responsibilities

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
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
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