Manager, Data Science (Audience Solutions)

About the role

Zenith Data Sciences designs and implements statistical models and machine-learning solutions that tie our clients’ marketing to real-world business goals. Working closely with both the Planning and Analytics teams, we use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

Responsibilities

• Work closely with planning, audience strategy, and analytics teams to solve marketing problems.
• Contribute intellectual capital to the data-science team by designing models and solutions based on clients’ business needs.
• Use data to tell compelling stories and drive strategic decisions.
• Formulate and execute a vision for client accounts.
• Serve as a mentor, manager, project manager, and thought leader.

Requirements

• 3+ years of work experience in quantitative analysis with proven results leveraging customer/transaction data to address business objectives.
• 1+ year in a managerial role.
• Bachelor’s degree in a STEM or related field, or equivalent work experience.
• Strong knowledge of relational databases and SQL programming.
• Highly proficient in at least one popular programming language used for machine learning, such as Python or R.
• Solid understanding of mathematical modeling, probability, statistics, and the design and simulation of stochastic systems.
• Familiarity with the mathematics behind key statistical learning algorithms (e.g., ARIMA, linear/logistic regression, clustering, PCA, decision trees, Bayesian inference, MCMC).
• Familiarity with advanced marketing analytics solutions (e.g., customer segmentation, marketing mix modeling, multi-touch attribution).
• Familiarity with advertising media channels (e.g., television, radio, print, search, display, email, ecommerce, social).
• Familiarity with marketing measurements and technologies (e.g., ad servers, DSPs, DMPs, CRMs, syndicated research).
• Strong communication skills—ability to speak and write professionally and present work in small groups.

Benefits

• Medical, dental, and vision coverage.
• Disability insurance.
• 401(k) retirement plan.
• Parental and family care leave.
• Family-forming assistance.
• Tuition reimbursement.
• Flexible time off.

Pay

USD $88,540.00 – USD $95,500.00/year. Compensation will be determined based on skills, qualifications, and experience.