Data Scientist

Maker Lab

. Design, train, and validate machine learning and statistical models monitoring product consumption velocity, flagging early-stage trend spikes, and calculating real-time success probabilities for upcoming releases .

Posted 9/19/2026contractRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and validating machine learning models, with a strong focus on data privacy compliance and statistical methods. Proficient in collaborating across teams to leverage data insights for marketing and media strategies.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingSQL ProficiencyData Privacy FrameworksStatistical Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingPredictive AnalyticsData TokenizationNatural Language ProcessingData VisualizationExperimentation MethodsModel ValidationData Engineering CollaborationAI Coding Assistants

Soft Skills

Verbal CommunicationWritten CommunicationPresentation Skills

Tools & Technologies

DatabricksLLMsInteractive DashboardsData EnginesCross-Border Data Regulations

Industry Keywords

Digital MediaHigh-Volume TechData PrivacyRegulatory ComplianceECommerce Platforms

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, train, and validate machine learning and statistical models monitoring product consumption velocity, flagging early-stage trend spikes, and calculating real-time success probabilities for upcoming releases
Partner with data engineering to define feature requirements and consumption patterns for a unified data engine ingesting real-time signals from DSPs, social networks, and eCommerce platforms
Build localized data tokenization and anonymization approaches into modeling workflows to ensure compliance with cross-border data regulations
Use modern AI coding assistants to prototype, test, and iterate on models, and build interactive dashboards and visualizations for non-technical marketing teams
Develop and refine a natural-language AI briefing intake system, including automated classification of incomplete or non-compliant briefs and AI-generated brief enhancements
Collaborate with Paid Media on predictive scoring for bulk ad deployment and with Creative teams on data-informed, Gen-AI-assisted script generation

Requirements

What you’ll need

BA/BS degree or equivalent experience
9–12 years of professional experience in data science, statistical modelling, or predictive analytics within high-volume tech or digital media
Deep hands-on experience building and validating production ML models within Databricks environments
Advanced proficiency in Python, SQL, and experimentation/statistical methods
Fluent use of modern AI coding assistants and LLMs
Strong understanding of data privacy frameworks and cross-border data security protocols, particularly when working with data from complex regulatory environments
Exceptional verbal and written English communication and presentation skills