Data Scientist

Reposted 11 Days Ago
Be an Early Applicant
San José, San José, CRI
In-Office
Mid level
Agency
The Role
The Data Scientist will enhance data processes, support analysis for decision-making, revamp lead scoring models, and build marketing mix models, utilizing advanced statistics and machine learning techniques.
Summary Generated by Built In

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.  


Summary:

As a Senior 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.

What You Will Do: 

  • 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.

Must Have: 

  • 8-10 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. 

Nice to have: 

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

Benefits & Perks

  • Competitive health and dental benefits.
  • Tuition reimbursement and training stipend.
  • Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
  • “Work from Anywhere” 4 weeks per year.
  • Stocked kitchen, and other team outings.
  • Collaborative and friendly work space, easily commutable location.
  • Volunteering & altruism opportunities.
  • Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
  • If something is important to you that’s not listed here, let us know!

Career & Development Focus

  • 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.

**All applications must include a Resume & Cover Letter in English to be considered. 

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.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here



Skills Required

  • 3-5 years of professional experience
  • Strong command of applied statistics and testing methodologies
  • Strong command of Python and SQL
  • Experience with machine learning algorithms
  • Comfortable with AWS environments
  • Advanced English level (B2+/C1)

Kepler Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kepler Group and has not been reviewed or approved by Kepler Group.

  • Fair & Transparent Compensation Fairness is supported by a clearly described approach using defined salary bands, annual/merit-based increases, and market adjustments. Transparency appears to improve predictability around how pay is set and adjusted over time.
  • Pay Growth & Progression Pay increases are described as occurring through annual and merit cycles, with market adjustments used when benchmarks change. One-off agency-wide pay increases have also occurred when compensation was perceived as lagging.
  • Leave & Time Off Breadth Time off is positioned as generous, with minimum days enforced and additional wellness time described. Unlimited PTO and seasonal perks like summer Fridays are also part of the time-off experience for some.

Kepler Group Insights

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The Company
chicago , IL
554 Employees
Year Founded: 2012

What We Do

Kepler provides digital and database services to Fortune 500 clients in the financial services, retail, healthcare and other industries. Our core services revolve around helping clients use data to power more dynamic and personalized marketing - including programmatic media services, CRM strategy, and management and marketing systems integration. Utilizing our proprietary Kepler Intelligence Platform™, we actively manage client programs in over two dozen countries worldwide.

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