Company Description

About Zenith: Zenith is The ROI Agency, we succeed when our clients succeed. We have a simple strategy: motivate our people, deliver great work, and delight our clients. Clients want to work with happy and motivated people. We have a superb Talent team, helping the agency recruit, develop and retain the industry's best talent. We're constantly striving to create a winning culture and we're delighted that 91% of our people would recommend us as a great place to work. We are single mindedly focused on delivering great work. We have a consistent track record of making our clients' communications more effective. Our goal is to achieve commercial marketing success. We don't set out to win awards but see them as a function of great work. Our greatest credential is our client list. Every day we work on challenging business and communication issues, in partnership with great client marketing teams. We are proud to have worked with many of our clients for 10 years or more and are equally proud of our new relationships. To learn more, visit www.zenithmedia.com

Job Description

What does Zenith Data Sciences do?

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

What does a successful Manager of Data Science look like?

We don’t all look the same, and we don’t expect you to, either. But successful members of our team generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don’t shy away from a challenge, and are always hungry to learn more.

Among Manager candidates, we look for prior experience in media analytics, especially digital media and audiences segmentation/modeling. You should be seasoned at representing your team to external clients and internal leadership. We hope you have a love for numbers and know how to bring data to life through a compelling story. We’re also hoping you have at least 2-3 years of experience managing team members and have at least 5 years of prior professional experience.

What does a Manager of Data Science do day-to-day?

You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients’ business needs and using data to tell great stories. A Manager will also help formulate a vision for their accounts and bring that vision to life. As such, a Manager is a mentor, manager, project manager, and thought leader, all at the same time. Day-to-day responsibilities include:

• Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
• Produce accurate statistical analysis and ensure high quality of the data analysis produced.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
• Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.

Qualifications

• 3 years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
• 2 Year in a managerial role
• Bachelor’s degree in a STEM or other 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 and statistics, and the design and simulation of stochastic systems.
• Familiarity with the mathematics behind important 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, Markov Chain Monte-Carlo (MCMC).
• Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA)
• Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
• Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
• Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Compensation Range: $100,000 - $115,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/29/2024

#LI-Hybrid