About Us
We are a growing Direct-to-Consumer (D2 C) company leveraging data-driven strategies to create
exceptional customer experiences and drive business growth. Our analytics and machine learning
capabilities are fundamental to understanding customer behavior, optimizing operations, and delivering personalized experiences. We're seeking a skilled Lead / Senior Data Scientist to lead our machine learning initiatives and translate business challenges into actionable insights.
Role Overview
As a Senior Data Scientist, you will develop and implement machine learning models that directly impact key business metrics and customer experience. You'll work on high-impact projects including lead scoring, churn prediction, and customer segmentation while collaborating closely with data engineering and analytics teams. This role requires strong expertise in classical machine learning techniques, with an emphasis on building production-ready models that deliver measurable business value.
Key Responsibilities
- Design, develop, and maintain machine learning models focused on lead scoring, churn prediction, customer segmentation, and other business-critical applications
- Build end-to-end ML pipelines, from data extraction and feature engineering to model deployment and monitoring
- Work with data engineering teams to ensure proper data infrastructure for ML workflows
- Collaborate with analytics teams to translate business problems into data science solutions
- Implement A / B testing methodologies to validate model effectiveness
- Monitor model performance in production and implement strategies for model maintenance
and improvement
Apply statistical analysis to extract meaningful patterns from large datasetsDevelop robust evaluation frameworks to measure model performance and business impactCreate clear documentation for models, methodologies, and resultsPresent findings and recommendations to technical and non-technical stakeholdersMentor junior data scientists and contribute to data science best practicesStay current with developments in machine learning and data science methodologiesQualifications
Required
Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field5+ years of experience in data science or machine learning rolesStrong proficiency in Python and its data science libraries (Pandas, Num Py, Scikit-learn, etc.)Expert knowledge of classical machine learning algorithms and techniquesExperience building models for business applications such as lead scoring, churn prediction, andcustomer segmentation
Hands-on experience with the full ML lifecycle, from data preparation to model deploymentExperience with SQL and working with large datasetsUnderstanding of statistical concepts and their practical applicationsExperience deploying models to production and implementing monitoring solutionsStrong problem-solving skills and business acumenExcellent communication skills with the ability to explain complex concepts to diverse audiencesPreferred
Experience in D2 C, e-commerce, or retail industriesFamiliarity with Gen AI and Deep Learning technologiesKnowledge of MLOps practices and toolsExperience with cloud platforms (AWS, GCP, Azure)Familiarity with data visualization tools (Tableau, Power BI, etc.)Experience with distributed computing frameworks (Spark)Understanding of experiment design and causal inferenceTechnical Skills
Programming Languages : Python (essential), R (beneficial)ML Libraries & Frameworks : Scikit-learn, XGBoost, Light GBM, Pandas, Num Py, Sci PyMLOps Tools : MLflow, Kubeflow, or similar (beneficial)Databases & Query Languages : SQL, experience with data warehousesCloud Platforms : Familiarity with AWS or GCP servicesVersion Control : GitData Visualization : Matplotlib, Seaborn, PlotlyCollaboration Tools : Jupyter, modern data science workflowsWhat We Offer
Competitive salary and comprehensive benefits packageOpportunity to work on impactful, business-critical projectsModern office in Mumbai with excellent facilitiesCollaborative, data-driven culture