Associate, Data Science

About the Role

Horizon Media is seeking an Associate, Data Science to utilize advanced statistics and data science techniques to build qualified audiences for client campaigns. This role will apply sophisticated data science, modeling, and advanced analytics to guide client audience strategy and enhance media campaign effectiveness.

Key Responsibilities

30% Solutions Design & Innovation

• Leverage blu. structured and unstructured data.
• Build end-to-end data science solutions for non-data science audiences.
• Generate clear, concise, and comprehensive analyses that explain data insights.
• Perform data transformation/mining and generate insights to explain audience performance and inform optimization.
• Execute data join processes between blu audiences, media exposure, and conversion events to build feedback loops.
• Analyze audience conversion to KPIs.
• Utilize AI solutions to inform and expedite analysis.

60% Technical & Analytical Excellence

Audience Development

• Apply Machine Learning and Data Mining with large datasets of structured and unstructured data.
• Utilize Data Validation, Predictive modeling, and data visualization techniques.
• Employ NLP for sentiment analysis.
• Utilize Mathematical and Statistical libraries in Python and/or R.
• Experience in importing/exporting data for relational databases.

Measurement

• Perform Time series analysis.
• Conduct Bayesian analysis.
• Apply Causal Inference.
• Familiarity with relational databases.
• Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot.
• Knowledge of data dictionaries and taxonomies of structured data sets.
• Perform Cluster & Factor analysis.
• Ability to perform advanced data visualization.

10% Product Innovation & Management

• Become a power user to drive continuous improvement in analysis and results supported by AI and custom solutions.
• Experience working with and/or managing teams in product development.
• Consider design principles that scale and can be repeatable and/or extensible.
• Participate in Product release management processes, including testing (Alpha, Beta, QA, UAT).
• Propose features, models, queries, and requests, often as "proof of concepts" for product enhancement.

Qualifications

• BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 0-2 years relevant experience, preferably in a media, marketing, or digital advertising environment.
• Working knowledge of Big and basic data mining routines.
• Expert knowledge in an analytic and programming language such as Python, R, or a similar language.
• Working knowledge of Predictive and Machine Learning is a plus.
• Demonstrate persistence and willingness to overcome challenges.
• Ability to work independently and with minimal supervision in a fast-paced, multiple project environment.
• Ability to work collaboratively within a team and across business units/functions.
• Strong verbal communication skills.
• Highly organized.
• Business acumen – understands strategic business levers and how analytics drives decision-making.