Data Scientist

Experience: 3.00 yearsSalary: INR 1800000-2200000 / year (based on experience)Expected Notice Period: 15 DaysShift: (GMT05:30) Asia/Kolkata (IST)Opportunity Type: RemotePlacement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Aria Intelligent Solutions)(*Note: This is a requirement for one of Uplers client - Aria Intelligent Solutions)What do you need for this opportunityMust have skills required:Databricks, Develop and deploy production-ready solutions on AWS, PySpark, hands-on experience in applied ML, or forecasting., Time SeriesAria Intelligent Solutions is Looking for:Key Skills? 46 years of hands-on experience in applied ML, time series, or forecasting.? Strong coding expertise in Python and PySpark for large-scale data processingand model development.? Proven experience working on Databricks and AWS for scalable analytics anddeployment.? Strong understanding of price optimization, cannibalization modeling, anddemand modeling in FMCG/Retail contexts.Key ResponsibilitiesModel Development:? Build and scale machine learning models for price elasticity, price and promotionoptimization, cannibalization analysis, and demand forecasting tailored to FMCGand Retail dynamics.? Quantify cross-product interactions, substitution effects, and promotional impactsto optimize category-level pricing and demand outcomes.Hands-On Analytics:? Work extensively with PySpark and Databricks to process large-scale structuredand unstructured datasets.? Develop and deploy production-ready solutions on AWS using best practices indata engineering and model lifecycle management.Demand & Cannibalization Modeling:? Design robust models to forecast baseline demand, incremental lift, and cross-product cannibalization under various pricing and promotional scenarios.? Apply causal inference and advanced statistical modeling techniques to interpretconsumer behavior and portfolio performance.Business Collaboration:? Partner with category, revenue management, and supply chain teams tointegrate data-driven insights into pricing and assortment strategies.? Translate complex analytical results into clear business recommendations thatdrive measurable commercial outcomes.Client/Stakeholder Engagement:? Present actionable insights and model outputs to business leaders in clear,business-relevant language.? Support stakeholders in understanding model implications and adoptinganalytical solutions across business functions.Innovation:? Explore emerging AI/ML techniques, automation opportunities, and real-time dataintegration to enhance accuracy and scalability of pricing and demand models.Skills & ExperienceEssential:? Masters degree in Data Science, Economics, Statistics, Computer Science,Operations Research, or related field.? 46 years of relevant experience in data science, predictive modeling, or demandforecasting, preferably within FMCG or Retail.? Proven expertise in Python, PySpark, AWS, and Databricks.? Strong working knowledge of machine learning, optimization, time seriesforecasting, and demand/cannibalization modeling.? Excellent communication skills with the ability to explain technical concepts tonon-technical stakeholders.? Experience with price optimization and revenue growth management projects inFMCG/Retail.? Familiarity with MLOps practices for scalable deployment and monitoring.How to apply for this opportunityStep 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview!About Uplers:Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!