Manager, Data Science (Audience Solutions)

About the Role

Zenith Data Sciences designs and implements statistical models and machine learning solutions that tie clients’ marketing to real-world business goals. Working closely with Planning and Analytics teams, we use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work helps clients understand if they are reaching 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.
• Represent the team to external clients and internal leadership.

Qualifications

• 3+ years of work experience in quantitative analysis with proven results in 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 statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, and Markov Chain Monte-Carlo (MCMC).
• Familiarity with advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA).
• Familiarity with advertising media channels, including Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
• Familiarity with marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
• Strong communication skills, including the ability to present work professionally in writing and verbally to small groups.

Skills

• Passion for emerging tech and media.
• Data-driven approach to decision-making.
• Experience in media analytics, especially digital media and audience segmentation/modeling.
• Ability to bring data to life through storytelling.
• At least 4 years of prior professional experience.

Benefits

• Medical, dental, and vision coverage.
• Disability and 401K plans.
• Parental and family care leave.
• Family forming assistance.
• Tuition reimbursement.
• Flexible time off.

Pay

Compensation range: USD $88,540.00 - USD $95,500.00 annually. Consistent with applicable law, compensation will be determined based on skills, qualifications, and experience.