Harrison and Star

Manager, Data Science

Harrison and Star$90K — $100K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3 to 6 years in a quantitative or analytics role, with 2 years client-facing experience.
  • Strong knowledge of regression modeling and Marketing Mix Modelling (MMM).
  • Proven client relationship management skills and ability to navigate feedback.
  • Experience presenting data findings to non-technical audiences.
  • Proficiency in Python or R and experience with media or consumer datasets.
  • Understanding of marketing lifecycle and key performance indicators (KPIs).
  • Strong organizational skills to manage concurrent projects.

Responsibilities

  • Own the full delivery of data science projects from scoping to presentation.
  • Act as the primary client contact, managing feedback and project scope.
  • Translate analytical findings into actionable marketing recommendations.
  • Lead discussions with stakeholders on models and data requirements.
  • Mentor analyst-level team members and review their outputs for quality.
  • Coordinate MMM outputs with other internal teams to meet client deliverables.
  • Assist in proposal development and client engagement statements.

Benefits

  • High-visibility role with significant client impact.
  • Opportunity to shape team client delivery and communication strategies.
  • Generous paid time off, including 37 paid days and flexible work arrangements.
  • Focus on personal development with training opportunities.
  • Access to a global network of agencies and community-based employee groups.
Full Job Description
Agency:
Omnicom Media

Job Function:
Data and Analytics

Job Subfunction:
Data Science and AI

Job Description:

Position Summary

We are hiring a Data Science Manager to lead project delivery across a range of data science engagements and serve as a key point of contact for clients. You will manage the day-to-day work of analyst-level team members, translate complex analytical findings into client-ready insights, and navigate stakeholder conversations with confidence. The work spans predictive modeling, regression analysis, and marketing analytics, and this role sits at the intersection of technical delivery and account management.

Key Responsibilities
  • Own end-to-end delivery of data science projects, including scoping, data collection, model development, and final presentations.
  • Serve as the primary client contact for active engagements, managing feedback, handling methodology questions, and maintaining strong working relationships.
  • Translate model outputs (decompositions, ROI estimates, diminishing returns curves) into clear, actionable recommendations for marketing clients.
  • Lead stakeholder discussions around model scope, data requirements, and interpretation of results, including managing requests that fall outside agreed project boundaries.
  • Manage and mentor analyst-level team members, providing direction on analytical tasks and reviewing outputs for quality.
  • Coordinate across internal teams (strategy, media, platforms) to align MMM outputs with broader client deliverables.
  • Contribute to proposal development and statements of work for new and existing client engagements.


Desired Skills & Experience
  • 3 to 6 years of experience in a quantitative or analytics role, with at least 2 years in a client-facing capacity.
  • Solid working knowledge of regression-based modeling and Marketing Mix Modelling methodology.
  • Proven ability to manage client relationships, handle pushback professionally, and maintain project momentum under competing demands.
  • Experience presenting analytical findings to non-technical stakeholders and adapting communication style to different audiences.
  • Proficiency in Python or R, and comfort working with media, sales, or consumer dataset types.
  • Understanding of the marketing lifecycle, key KPIs and metrics
  • Strong organizational skills and the ability to manage multiple concurrent projects.


Nice to Have
  • Experience at a marketing agency or management consultancy.
  • Familiarity with Bayesian regression methods and adstock modeling.
  • Background working with media planning or analytics platforms.


What we offer
  • A high-visibility role with direct client impact across a range of industries.
  • Opportunity to shape how the team approaches client delivery and model communication.
  • Competitive salary, benefits, and professional development support.


This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Expected Salary: $90,000 - $100,000

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant's education, experience, knowledge, skills and abilities.

In addition, Omnicom Media provides rewarding offerings such as:
• Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.
• A flexible hybrid work model that works for you.
• A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.
• A chance to be part of and grow within a global network of agencies.
• The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.

$90,000 -$100,000

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.

About Harrison and Star

Harrison and Star is a healthcare advertising agency that provides marketing and advertising services to pharmaceutical and biotechnology companies. The company offers a range of services including brand strategy, creative development, digital marketing, and market research. Harrison and Star was founded in 1986 and is headquartered in New York, New York.
Learn more about Harrison and Star
Size
500 employees
Industry
Founded
1986
NASDAQ

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