Data Science Manager Salary India Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. ABOUT THE ROLE We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy. In this role, you will architect a

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Shopping Experience team is focused on making it fast and effortless for customers to find the right items within a single retailer and complete their order with confidence. As a Senior Data Scientist dedicated to Search, you’ll own the analytics an

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edg

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Data Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company. What you’ll do Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Build and operate large-scale data discovery, metadata, or catalog platform Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuo

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. Work closely with product and business teams to identify important questions and answer them with data. Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. Conduct exploratory analysis on internal data to understand user behavior to inform product development. Drive the collection of new data and the refinement of existing data sources. Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. Predict future performance of users or products. Define, measure, and monitor key outcome metrics for teams and support Stripe’s business. Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! About the Role Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams. What You’ll Be Doing Pricing & Monetization Analytics : Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.&

Staff Data Scientist, AI for Business Functions — Boise, ID - Main Site. Apply via Workday.

Distribution Data Management Analyst — Hyderabad, Telangana, India. Apply via Workday.

Enterprise Data Advisor — Hyderabad, Telangana, India. Apply via Workday.

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by gl

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking a Senior Data Platform Architect (Specialist) to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Ap

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Principal Data Cloud Architect - SI Partners We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners. IN THIS ROLE YOU WILL PERFORM: Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI propo

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Associate Data Advisor will be responsible for monitoring the results of D&B Match and clustering to come up with rules and best practices to increase match rates for D&B clients. The Associate Data Advisor will drive continuous improvement and increase efficiencies and regularly review and document the best practices to share within the organization.