{"id":1417313,"url":"https://alion.io/job/instamart-data-scientist-iii","title":"Data scientist III","company":{"id":3018619,"name":"Instamart","domain":"instamart.in","url":"https://alion.io/company/instamart","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"bandit","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SciPy","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T18:45:40Z","employer_posted_date":null,"last_verified_at":"2026-09-28T18:45:40Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"Job Role: Data Scientist 3 – Ads & Monetization / Pricing Optimization\n\nExperience Required: 5–7 years\n\nLocation: Bangalore | Karnataka\n\nAbout Swiggy And The Team\n\nSwiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research to shape AI-first systems that directly impact customer experience and business growth. The team values cross-functional collaboration, open sharing of ideas, and continuous innovation to roll out machine learning and AI solutions at scale.\n\nAbout The Role\n\nAs a Data Scientist 3 (DS3), you will act as a Technical Stream Lead within the Ads, Pricing, and Discount Optimization sub-domain. You will take end-to-end ownership of scoping, designing, and delivering complex algorithmic decision engines (typically 2–3 related models or experiments over a quarter). You will operate with high autonomy—translating open-ended monetization and incentive allocation challenges into mathematical and ML frameworks, balancing ROI trade-offs, and driving unit economics (L0/L1/L2 metrics) while mentoring junior data scientists.\n\nWhat Qualities Are We Looking For\n\nTechnical Expertise & Problem Formulation\n\nExperience & Ownership: 4–6 years of experience building and deploying scalable decisioning engines, causal models, or algorithmic ad-tech architectures in production. \nProblem Formulation: Proven ability to break down open-ended pricing, spend allocation, or ad bidding problems into DS/ML sub-problems, defining appropriate targets, constraints, and objective functions. \nReinforcement Learning & Decision Systems: Hands-on experience with Contextual Bandits, Multi-Armed Bandits (MAB), Markov Decision Processes (MDPs), Q-Learning, Policy Optimization, and Offline Reinforcement Learning for dynamic ad allocation and coupon targeting. \nCausal Inference & Economics: Deep knowledge of Uplift Modeling, Counterfactual Evaluation, Price Elasticity Modeling, and Causal Inference to measure incremental business lift and avoid deadweight loss. \nOptimization & Decision Engines: Expertise in Constrained Optimization, Mixed-Integer Programming (MIP), Bayesian Optimization, and Budget Allocation frameworks to design production-grade Decision Engines. \nEngineering Excellence: Proficient in distributed processing and execution (PySpark, Python, PyTorch/TensorFlow, CVXPY/Gurobi/SciPy) for real-time and batch optimization systems. \n\nExecution, Operational Excellence & Leadership\n\nTechnical Stream Leadership: Ability to act as the Single Point of Contact (SPOC) for Ads/Discount optimization streams, guiding DS1/DS2 engineers, managing delivery coherence, and setting stakeholder expectations. \nDomain Metric Ownership: Ability to connect DS levers (e.g., ad CTR, eCPM, take-rate, ROI, gross margin) to core business outcomes, root-causing metric shifts (L2 to L1), and proactively identifying spend efficiency opportunities. \nOperational Excellence: Rigor in maintaining system hygiene owning root-cause analyses (RCAs), minimizing tech debt, optimizing pipeline compute costs, and ensuring auction/pricing stability during peak traffic events (e.g., festivals, IPL). \nPragmatic Innovation: Capability to adapt state-of-the-art research (e.g., novel bandit architectures, causal uplift methods, offline RL evaluation) pragmatically to Swiggy's scale and operational constraints. \n\nWhat Will You Do\n\nLead Project Streams: Scope, design, and implement solutions for dynamic pricing, ad ranking/bidding, and discount allocation; write comprehensive approach notes, design docs, and phased experiment plans \nBuild Algorithmic Decision Engines: Architect optimization engines combining Contextual Bandits, Causal Uplift Models, and Constrained Optimization to allocate ad slots and promo budgets at scale. \nDrive Metric Accountabilities: Function as tech lead for a sub-domain, owning at least 1 Key Result (KR) and using data insights to justify model decisions to Monetization, Product, and Business teams. \nElevate Engineering Standards: Implement best practices within your pod—including code reviews, test-driven pipelines, version control, on-call hygiene, and async-first technical documentation. \nMentor & Collaborate: Actively guide and pair with DS1s and DS2s, streamline cross-functional communication, and contribute to pod-level roadmap discussions and technical publications/blogs. \n\nWhy Join Swiggy\n\nImpact at Scale: Work on high-velocity systems driving real-time decisions for millions of orders. \nTechnical Autonomy: Lead sub-domains end-to-end with the space to introduce state-of-the-art techniques. \nCollaborative Growth: Work in a high-density learning environment alongside cross-functional experts in Engineering, Product, and Business. \n\n We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by law.","description_format":"text","description_chars":5100,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-28T21:00:22Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.731,"p_room":0.75,"age_days":17,"expected_fill_days":20,"reasons":["seen:17","win:late"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/instamart-data-scientist-iii","json_url":"https://alion.io/job/instamart-data-scientist-iii.json","meta":{"generated_at":"2026-10-16T22:26:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4067,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3018619},"rest":"https://alion.io/mcp/rest/get_company?id=3018619"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finstamart-data-scientist-iii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Finstamart-data-scientist-iii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Finstamart-data-scientist-iii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/instamart-data-scientist-iii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finstamart-data-scientist-iii"}]}