Data Scientist – Python / SQL – New York, Manhattan / Hybrid – Marketing / Media – $110,000 – $130,000 + Benefits

Our client is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. They are known for pairing the brightest data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture.

Their clients span the leading brands in finance, technology, media, CPG, real estate, and many other categories. These partnerships have earned them multiple awards and recognition.

Their Data Science team is a group embedded in the media buying practice to translate the domain knowledge gained from running media for their clients to smart tools that push the limits of advanced advertising. Their work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions, all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients.

About the Role

The Marketing Science team embeds data scientists directly within media buying and activation operations. You will help design, develop, and deploy analytical tools that improve media decision-making, elevate performance, and streamline workflows. You will also support media consulting projects by providing data-backed insights, predictive modeling, and strategic recommendations. This is a hands-on, impact-driven role that blends advanced analytical techniques with practical marketing problem-solving. You will collaborate with data scientists, engineers, media buyers, strategists, and account teams, and contribute to some of the most innovative analytical initiatives within the organization.

Who You Are And What You Have

• A Bachelor's, Master's or PhD in a STEM field, or equivalent practical experience.
• 2+ years (with Master's/PhD) or 3+ years (with Bachelor's) of relevant experience in data science or analytics.
• 1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models.
• Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning.
• Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context.
• Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable.
• Experience utilizing Python and SQL for data manipulation, analysis, and model building.
• Experience building data science software, analytical workflows, or data-driven applications.
• Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred.

What You’ll Do:

• Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization.
• Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI.
• Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team.
• Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions.
• Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations.
• Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients.
• Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability.
• Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain.

Some Of The Perks

• Unlimited paid time off
• 401(k) with company match (no vesting period)
• Annual bonuses
• Generous medical plan
• Paid parental leave

How Do You Apply?

If you are interested in applying for the Data Scientist role, please do so via the link on this page or contact Digital Republic on the phone or by email.

Contact Us To Find Out More:

Get in contact with Digital Republic Talent by sending an email to [email protected]. Check out the website at www.digitalrepublictalent.com. You can also find out more on LinkedIn, Instagram or Facebook.