Data Scientist

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.  

As a Data Scientist you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.

You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.

• →Revamp an existing customer lead scoring model predicting conversion propensity based on web behavior across regional brand websites. Address current data lag and interpretability issues.
• →Act as a strategic partner to the client's digital analytics team, taking conceptual questions and pitching "white space" mathematical/statistical opportunities.
• →Build/run models to support client Marketing Mix Modeling readouts. Leverage 1PD and third-party data (TransUnion) to uncover insights, perform clustering, and develop predictive targeting segments.
• →Help trial and evaluate new platforms (proprietary and 3rd party) for built-in AI capabilities and enhancements over existing reporting and analytical tools.

• 3-5 years of professional and practical experience. 
• Strong command of applied statistics and testing methodologies, preferably within the media analytics space.
• Strong command of Python, SQL and Machine Learning algorithms (Classification, Regression, Clustering, XGBoost Library).
• Must be comfortable navigating and extracting data from AWS environments (e.g. Athena), Adobe Analytics, Google Analytics, Knime, and Dashboards (Tableau).
• Advanced english level (B2+/C1) is a strict and mandatory requirement. 

• Marketing Mix Modeling (MMM), audience segmentation, and model interpretability (e.g., SHAP/LIME).

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

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