Data Scientist

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.

Responsibilities

Revamp an existing customer lead scoring model predicting conversion propensity based on web behavior across regional brand websites; 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; Help trial and evaluate new platforms (proprietary and 3rd party) for built-in AI capabilities and enhancements over existing reporting and analytical tools.

Requirements

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; model interpretability (e.g., SHAP/LIME)

Benefits

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; 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; Kepler Rocket Mentorship Program