Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist based in India.

This is an exciting opportunity to leverage advanced analytics and machine learning to drive business growth and enhance user experiences at scale. Working at the intersection of marketing, product, and data science, you will develop models and insights that directly influence customer acquisition, retention, engagement, and monetization strategies. The role combines hands-on data science, predictive modeling, experimentation, and stakeholder collaboration in a fast-paced, data-driven environment. You will work with large datasets, modern analytics platforms, and cross-functional teams to transform complex business challenges into actionable solutions. Ideal for a results-oriented professional, this position offers the chance to create scalable, production-ready models that generate measurable impact across multiple business functions.

Accountabilities

• Develop and manage end-to-end predictive models focused on customer lifetime value (LTV), retention, segmentation, revenue forecasting, and marketing performance optimization
• Partner with marketing and revenue teams to improve campaign effectiveness, identify high-value customer cohorts, and enhance targeting and bidding strategies
• Analyze user behavior, customer journeys, engagement trends, and conversion funnels to uncover growth opportunities and performance improvements
• Define, measure, and monitor key business metrics, KPIs, and success frameworks for products, features, and growth initiatives
• Build machine learning models for conversion prediction, churn analysis, engagement forecasting, and revenue optimization using statistical and predictive techniques
• Identify opportunities to automate decision-making processes and implement prescriptive analytics solutions across product and marketing functions
• Collaborate with data engineering teams to design scalable data pipelines that support machine learning workflows, model retraining, and real-time analytics
• Present analytical findings, recommendations, and strategic insights to stakeholders at all levels, including senior leadership
• Translate business challenges into structured analytical projects and convert complex data findings into actionable business decisions
• Work cross-functionally with engineering, business intelligence, product, and marketing teams to deploy and scale data-driven solutions

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Data Science, or another quantitative discipline
• 5+ years of experience in data science, growth analytics, decision science, or related analytical roles
• Strong proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn
• Advanced SQL skills with experience querying and analyzing large datasets
• Hands-on experience with business intelligence and visualization platforms such as Tableau, Looker, or similar tools
• Solid understanding of customer lifetime value modeling, cohort analysis, retention metrics, attribution methodologies, and growth analytics
• Experience working with digital marketing platforms such as Google Ads, GA4, Meta, or similar performance marketing ecosystems
• Strong statistical analysis, predictive modeling, and machine learning expertise
• Excellent communication and presentation skills, with the ability to translate technical findings into business recommendations
• Proven ability to work collaboratively across technical and non-technical teams in a fast-paced environment
• Experience with BigQuery, Google Cloud Platform, or comparable cloud ecosystems is preferred
• Familiarity with NLP, large language models (LLMs), embeddings, recommendation systems, or agent-based analytics is a plus
• Exposure to machine learning deployment tools and workflows such as Vertex AI, Airflow, Composer, or similar technologies is advantageous

Benefits

• Remote work flexibility within India
• Additional day off on the third Friday of every month, providing a long weekend each month
• Monthly wellness reimbursement program supporting employee health and well-being
• Monthly commuting reimbursement program
• Paid maternity and paternity leave benefits
• Opportunity to work with modern machine learning technologies and large-scale datasets
• Collaborative and innovative work environment focused on data-driven decision making
• Exposure to cross-functional projects with significant business impact
• Career growth and professional development opportunities within a high-growth organization

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.