Data Scientist

5d5 days ago

Kepler Group

San José, CR · Full-time · $45,000 – $75,000

About this role

Kepler executes engineered marketing, harnessing data and technology across paid digital media and data-driven CRM channels to create personalized brand-consumer relationships. As a Data Scientist, you will ensure high-quality data delivery, improve reporting frameworks, and support deeper analysis for internal decision-making. This role emphasizes advanced analytical thinking with scalable execution and operational excellence.

You will revamp customer lead scoring models, build models for Marketing Mix Modeling readouts, and trial new platforms with AI capabilities. Working closely with internal and cross-functional teams, you will enhance data processes and contribute to efficient, data-driven decisions across accounts. Expect to leverage tools like AWS Athena, Adobe Analytics, and Tableau for performance analysis.

Kepler prides itself on being a great place to work, recognized by AdAge as a Best Place to Work in 2022. The company is transparent with financial updates, growing with unparalleled opportunities, and fun with smart industry peers. You will collaborate in a friendly, easily commutable workspace with stocked kitchen and team outings.

Growth comes through shaping company direction, tuition reimbursement, training stipends, and hybrid WFH schedules. Enjoy 'Work from Anywhere' for 4 weeks yearly, volunteering opportunities, and multicultural celebrations. If something important is missing, let Kepler know to tailor your experience.

Requirements

3-5 years of professional and practical experience
Strong command of applied statistics and testing methodologies, preferably within media analytics
Strong command of Python, SQL and Machine Learning algorithms (Classification, Regression, Clustering, XGBoost Library)
Comfortable navigating and extracting data from AWS environments (e.g. Athena), Adobe Analytics, Google Analytics, Knime, and Tableau Dashboards
Advanced English level (B2+/C1) strict requirement
Marketing Mix Modeling (MMM), audience segmentation, and model interpretability (e.g., SHAP/LIME)

Responsibilities

Revamp existing customer lead scoring model predicting conversion propensity based on web behavior across regional brand websites
Act as strategic partner to client's digital analytics team, pitching mathematical/statistical opportunities
Build and run models to support client Marketing Mix Modeling readouts using 1PD and third-party data
Perform clustering and develop predictive targeting segments
Trial and evaluate new platforms for AI capabilities and enhancements over existing reporting tools
Improve reporting frameworks and support performance analysis
Navigate and extract data from AWS environments like Athena

Benefits

Competitive health and dental benefits
Tuition reimbursement and training stipend
Hybrid Office/WFH Schedules with office supplies, internet, and phone stipend
“Work from Anywhere” 4 weeks per year
Stocked kitchen, team outings, and collaborative workspace
Volunteering and altruism opportunities
Team building lunches, events, and company celebrations including multicultural holidays