30 Causal Inference Jobs

PristineAI is leading the retail revolution by developing advanced AI solutions that enhance pricing, promotions, personalization, and assortment management. Our innovative platforms, powered by Natural Language Processing (NLP) and forecasting technologies, equip decision-makers with powerful tools. With our presence in Woburn, MA, and Engineering Labs in Mumbai and Chennai, we are a fast-growing team committed to pushing the boundaries of AI to deliver impactful and industry-first solutions. Our flagship platform, Kai, leverages Natural Language Processing to democratize AI for decision-makers. Additionally, our Presto forecasting and optimization platform significantly increases retailer profitability. Every day, our SaaS platform learns from over 40 million new customer interactions across 12,000 stores/websites and 30 million customers. If you are a creative problem solver and team player, we welcome you to join our dynamic AI team. We are currently looking for a Lead AI Engineer with over 5 years of hands-on experience to join our team in Mumbai. The ideal candidate should possess a solid foundation in AI, Mathematics, Statistics, or Computer Science, and demonstrate proven implementation skills. Expertise in Deep Learning would be a valuable asset. As we integrate LLM and Copilot technologies into our solutions, we seek individuals who are passionate about creatively applying these technologies. AI plays a central role in our platform, influencing both the user experience and backend functionalities. We are in search of engineers who are enthusiastic about engaging in all stages of the solution lifecycle and embracing the technologies used to build cutting-edge solutions. **Role:** Lead AI Engineer **Qualification:** Bachelors or Masters degree in Computer Science, Software Engineering, AI, Statistics, or Math **Experience:** 5+ years in AI/ML engineering roles, with at least 2-3 years in a senior technical leadership position **Location:** Mumbai, India **Industry:** IT - SaaS, Retail **Job Type:** Full-Time, Permanent (Work from office) **Key Attributes and Abilities:** - Exceptional problem-solving skills with expertise in problem definition and developing alternative solution approaches - Strong design abilities and proficient in generating clean, efficient, and maintainable code - Excellent verbal and written communication skills - Adaptability to dynamic environments and shifting priorities - Collaborative mindset and effective team player - Hands-on experience in project development and support - Proficiency in conducting rigorous reviews and offering quality feedback **Technical Expertise and Familiarity:** - Supervised and unsupervised learning, deep learning, and NLP techniques - Proficiency in LLM technologies, causal inference, and A/B testing - Familiarity with optimization techniques and data visualization tools - Programming languages: Python, R, SQL - ML frameworks and libraries: TensorFlow, PyTorch, SkLearn - Database experience: Oracle, SQL/NoSQL, MySQL **Responsibilities:** - Develop and deploy AI/ML models for retail optimization - Collaborate with cross-functional teams to implement solutions and enhance data models - Build analytical tools to provide insights into key business metrics - Deploy AI models into production environments and manage data attributes - Innovate AI infrastructure for scalability and efficiency - Mentor junior engineers and ensure high-quality AI systems - Stay updated with AI research and integrate emerging technologies into solutions - Conduct code reviews and troubleshoot data quality issues **Remunerations and Benefits:** - Opportunity to shape the future of the industry in a start-up environment - Work with talented Retail Business Practitioners, Consumer Behavior Analysts, AI Experts, and Engineers - Annual study time allocation - Competitive salaries, equity, and health insurance coverage PristineAI is an equal opportunity employer that values diversity and is dedicated to creating an inclusive work environment for all employees.,

You will have the opportunity to work in a company where the team truly believes in the mission and values of the organization. The commitment to bringing passion and customer focus to the business is a core principle. The position is based in Bengaluru and is looking for a talented Consultant to provide support to a Fortune 500 Technology Client. The ideal candidate should have at least 4 years of experience in areas such as web analytics, conversion funnel optimization, digital user experience analytics, or A/B and multivariate testing program management. To excel in this role, you should possess the following qualifications: - 4+ years of experience in performance marketing analytics, web analytics, eCommerce, or digital marketing - Proficiency in SQL, Tableau, and Excel, along with experience in Product Analytics Tools such as Adobe Analytics and Google Analytics - Knowledge of programming languages and stats packages like Python, R, as well as experience in experiment design, causal inference, and CLTV development - Strong understanding of eCommerce fundamentals, including Traffic, Conversion, and Revenue drivers - Basic understanding of Digital Marketing programs such as SEO, PPC, Programmatic Display/Video, Social, and Affiliates - Experience in leading end-to-end measurement programs and campaigns, measuring effectiveness, ROI, and Efficiency - Ability to translate complex data into clear insights, actions, and recommendations - Proficiency in influencing business decisions at a leadership level using data - Strong problem-solving skills and quantitative thinking from end to end - Capability to manage multiple projects concurrently to achieve objectives and meet key deadlines - Excellent communication skills with both technical and non-technical stakeholders - Fostering a Test and Learn culture within the broader Marketing team within Retail and Apple - A Bachelor's Degree in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field; a Master's Degree is preferred If you thrive in a dynamic environment with ambitious and upbeat colleagues, this could be a rewarding opportunity for you. If this particular role isn't the right fit for you, you can express your interest in future opportunities by clicking on Introduce Yourself or setting up email alerts for relevant job postings.,

We are seeking a seasoned professional with extensive experience in the marketing measurement industry to join and lead our marketing science team at Lifesight. Situated at the confluence of customer success, sales, and marketing, the marketing science team plays a pivotal role in our organization. As the leader of this team, you will spearhead various initiatives and be instrumental in driving revenue through deal closures and ensuring customer satisfaction. Your primary responsibilities will include managing a team of marketing scientists who leverage Marketing Mix Modeling, universal attribution, incrementality testing, and causal inference to address our customers" measurement needs effectively. Additionally, you will be tasked with advocating for our UMM platform, elucidating its value proposition to a diverse array of brands across different industries. Achieving revenue targets for the US market, understanding customers" business goals, and providing expert recommendations using our platform will be crucial aspects of your role. Furthermore, you will oversee customer account management, communication, and engagement to ensure high levels of customer satisfaction. Crafting engaging thought leadership content for various channels, overseeing custom consulting services, and contributing to our product roadmap will also fall under your purview. Staying abreast of industry trends, collaborating with global teams, and coaching team members for career growth will be integral to your success in this role. To qualify for this position, you should hold a Bachelor's degree or higher in Business Management, BI/Analytics, Economics, Statistics, Mathematics, or Marketing. A minimum of 6 years of experience in data science or marketing science, coupled with proficiency in business analytics, marketing analytics, and attribution modeling, is required. Strong analytical skills, a proven track record of managing teams, and exceptional communication abilities are essential. Experience in working with mid-market and enterprise brands, along with expertise in revenue-driving strategies and social media brand promotion, will be advantageous. Join us at Lifesight and be part of a dynamic team driving innovation in the marketing measurement industry under the leadership of Sivakanth Pappu.,

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowes India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowes customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team The Experimentation Team at Lowe's drives end-to-end A/B testing, ensuring data-backed decisions before full rollouts. This progressive and rapidly growing team is focused on building scalable solutions that enhance decision-making and drive top and bottom-line business value along with creating great customer experiences. Job Summary: We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Lead Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization. Roles & Responsibilities: Core Responsibilities: Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences. Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks. Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis. Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability. Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (e.g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results. Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics. Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization. Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies. Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics. Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting. Years of Experience: 5+ years of professional experience in data science, with at least 2 years focused on experimentation, A/B testing, and causal inference in a retail or e-commerce environment. Proven track record of designing and analyzing large-scale A/B tests and experiments with demonstrable business impact. Strong experience with statistical analysis and modelling techniques, including hypothesis testing, regression analysis, and Bayesian statistics Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors/Masters/Ph.D. degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related field. Skill Set Required Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference. Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Solid understanding of e-commerce and retail metrics (e.g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation. Secondary Skills (desired) Experience with large-scale e-commerce platforms and digital product development. Familiarity with the advanced causal and inferential analytics Experience with advanced techniques in machine learning or AI that complement experimentation (e.g., recommender systems, predictive modelling). Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure). Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.

As a member of Team Amex at American Express, you will be part of a culture that values innovation, shared values, and Leadership Behaviors. With a 175-year history, we are committed to supporting our customers, communities, and colleagues. You will receive comprehensive support for your holistic well-being and numerous opportunities to enhance your skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have a meaningful impact, and together, we will shape the future of American Express. In this role, your primary responsibility will be to contact clients with overdue accounts to secure settlements while also engaging in preventive measures to avoid future overdues with high-exposure accounts. Additionally, you will be part of the Amex Offers team, a digital advertising platform connecting Merchants and brands with millions of American Express Card Members globally. Through strategic marketing partnerships, you will deliver value for Merchants and Advertisers, reaching high-spending Card Members in digital channels to provide deep insights and enhance results. American Express is currently seeking a commercially minded Director of International Advertiser Analytics & Optimization to lead the strategic analytics function supporting merchant partnerships and the scaling of proven AMEX Offers strategies. In this role, you will collaborate with various teams to develop data-driven insights that unlock growth opportunities, optimize campaign performance, and shape the CLO value proposition. You will interface with stakeholders in Australia, Canada, United Kingdom, and the United States, focusing on defining efficient growth opportunities, critical market nuances, and leading analytics capacity prioritization. Key Responsibilities: - Act as the analytics lead in strategic merchant/advertiser conversations, providing insights and ROI modeling in top markets. - Deliver post-campaign analysis and insights to quantify lift, incrementality, and customer behavior change. - Partner with various teams to refine and evolve the AmEx Offers & Digital Media value proposition. - Deliver insights to influence go-to-market strategies by identifying vertical-specific trends and priorities. - Lead and mentor a team of India-based analytics while fostering a culture of rigor, transparency, and intellectual curiosity. Minimum Qualifications: - 8+ years in media analytics, reporting, or performance measurement, ideally in ad tech, martech, or digital media. - Strong understanding of digital media KPIs, CLO campaign dynamics, and marketing measurement techniques. - Proficiency in SQL, Python, BI Tools (e.g., Tableau & Power BI). - Strong communication skills for presenting to C-level clients. - Foundation in statistical modeling, experimentation, and causal inference. - Leadership experience in leading analytics or insights teams. - Self-starter with the ability to drive insights, provide actionable steps, and deliver results. At American Express, we provide benefits that support your holistic well-being, including competitive salaries, bonus incentives, financial support, medical benefits, flexible working arrangements, paid parental leave, wellness programs, and career development opportunities. Join us in shaping the future of American Express and making a meaningful impact in the industry.,

As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic insights to partners across the organization. With a Master's degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative field, along with 7 years of experience in statistical data analysis, modeling, and managing analytical projects, you will have the opportunity to leverage your expertise to impact decision-making processes. Your responsibilities will include identifying and structuring business problems, effectively communicating challenges and opportunities, and acting as a thought partner to produce valuable insights and metrics for technical and business stakeholders. You will be expected to deliver compelling presentations of findings and recommendations to various levels of leadership, utilizing visual displays to convey quantitative information. In addition to your analytical skills, you will need to follow engineering best practices to create scalable data pipelines and models. Your ability to engage and influence senior stakeholders and cross-functional partners will be essential in obtaining buy-in for potential solutions and adapting messaging to drive impactful recommendations. With a focus on analytics, strategies, and communications, you will collaborate with senior leadership to execute high-impact projects that span across different organizational functions. Your role will involve weaving stories from data, making critical recommendations for Engineering and Product Management teams, and contributing to the success of Google's worldwide user base. If you are a data-loving individual who thrives on leveraging numbers to drive better decision-making, this role offers a unique opportunity to make a significant impact within a dynamic and innovative environment.,

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team The Experimentation Team at Lowe's drives end-to-end A/B testing, ensuring data-backed decisions before full rollouts. This progressive and rapidly growing team is focused on building scalable solutions that enhance decision-making and drive top and bottom-line business value along with creating great customer experiences. Job Summary: We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Senior Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization. Roles & Responsibilities: Core Responsibilities: Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences. Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks. Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis. Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability. Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (e.g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results. Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics. Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization. Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies. Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics. Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting. Years of Experience: 5+ years of professional experience in data science, with at least 2 years focused on experimentation, A/B testing, and causal inference in a retail or e-commerce environment. Proven track record of designing and analyzing large-scale A/B tests and experiments with demonstrable business impact. Strong experience with statistical analysis and modelling techniques, including hypothesis testing, regression analysis, and Bayesian statistics Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors/Masters/Ph.D. degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related field. Skill Set Required Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference. Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Solid understanding of e-commerce and retail metrics (e.g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation. Secondary Skills (desired) Experience with large-scale e-commerce platforms and digital product development. Familiarity with the advanced causal and inferential analytics Experience with advanced techniques in machine learning or AI that complement experimentation (e.g., recommender systems, predictive modelling). Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure). Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join Global Airbnb Capability Center (ACC) Training team responsible for new?hire, up?skill and quality programmes across community?support, safety, payments, and host operations. Fast?moving, data?curious facilitators and instructional designers who embrace experimentation and continuous improvement. A cross?functional network of Ops Analytics, Engineering, and L&D partners committed to building a data?driven learning culture. The Difference You Will Make Define meaningful KPIs that link training to CSAT, Quality Accuracy, Time?to?Competency, and operational efficiency. Automate 70?%+ of recurring reports within your first yearfreeing trainers for high?value coaching. Deliver executive?ready insight decks that influence programme funding and road?map decisions. Run data?literacy clinics that turn trainers into confident dashboard users. A Typical Day Translate program goals into meaningful KPIs and data-capture routines. Build dynamic team scorecards and dashboards (Excel first; migrate to BI tools during year 1). Craft executive-ready decks that link findings to concrete actions. Automate recurring reports and basic workflows (e.g., attendance, feedback collation). Manage all data related elements for training Pull fresh LMS, QA and operational data into dynamic Excel/Sheets models; validate for completeness. Meet with Training Managers to refine hypotheses and frame the so what of emerging trends. Must?Have Your Expertise: Advanced Excel/Google Sheets . SQL and experience with a BI platform (Looker, Tableau, Power?BI). Strong data?storytelling and presentation skills; can translate numbers into trainer actions. Growth mindset and track record of self?directed learning. Excellent written & verbal English. Preferred Expertise:: 2+ years delivering or designing instructor?led or blended training programmes. Low?code automation (Zapier/Make) and/or basic Python for data wrangling. Experiment design, A/B testing, causal inference. Hybrid Work Requirements & Expectations : To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following: Workspace: A dedicated, quiet, and private workspace free from interruptions and external noise Internet Connectivity: During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved. Confidentiality & Security: Employees are responsible for protecting Airbnbs Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. Show more Show less

About the Role We're looking for a data scientist with hands-on experience in advertising to join the Food, Ads & Merchants team at Gojek. This role is laser-focused on helping merchants grow on GoFood through innovative, data-driven ad solutions. You'll be part of a cross-functional team across Singapore, India, and Indonesia, working at the intersection of advertising, machine learning, and merchant growth. Your primary mission: design, build, and scale ad systems that drive measurable impact for GoFood merchants. This includes optimizing ad targeting, pricing, and bidding strategies and uncovering new ways to deliver merchant value through experimentation and modeling. You'll collaborate closely with product managers, engineers, and fellow data scientists to shape how merchants reach users and grow sustainably. Your first six months will involve: Improving ad ranking and bidding systems to maximize ROI for merchants.Designing merchant-facing ad products grounded in data and experimentation.Applying causal inference and optimization techniques to drive spend efficiency and merchant success.Design rigorous experiments when A/B testing isn't feasible, using methods like synthetic controls or matching to evaluate ad features and pricing in constrained or high-risk settings. If you've worked in the ads domain and are excited about building ad products that directly influence business outcomes at scale, we'd love to work with you. What You Will Do Translate merchant growth and advertising challenges into well-defined technical problems solvable with data, experimentation, and machine learning. Build and scale data science solutions that power GoFood's ad products, such as bidding systems, sponsored listings, and user/keyword targeting. Own the full ML lifecycle: from ideation and modeling to pipeline development, deployment, experimentation, and measurement of impact on key merchant and platform metrics. Improve ad ranking, targeting, and pricing algorithms using techniques from causal inference, optimization, and user behavior modeling. Design and interpret experiments by applying quasi-experimental and A/B testing methods. Collaborate closely with product and business stakeholders to shape ad strategy and drive measurable outcomes for merchants. Communicate technical decisions, insights, and trade-offs clearly to cross-functional teams, and operate independently in fast-moving and ambiguous problem spaces. What You Will Need Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, ML) with 10+ years of industry experience. Proficient in Python and SQL, with experience working in large-scale data environments. Strong in statistics, machine learning, and causal inference, with a track record of solving real-world problems. Practical experience with ad ranking, targeting, or bidding systems. Familiarity with ad tech concepts like CTR prediction, auction dynamics, and budget pacing. Strong problem framing skills: able to turn loosely defined product or business questions into well-scoped, data-driven solutions. Clear communicator, comfortable sharing insights across technical and non-technical teams. End-to-end ownership of DS workflows, from data exploration and hypothesis testing to experimentation and impact reporting. Self-motivated, execution-focused, and eager to build ad solutions that drive merchant growth. Bonus Points If You Have Experience working with Chinese cloud platforms like Alibaba Cloud or Tencent Cloud. Familiarity with modern software engineering workflows, including Git, CI/CD, and Docker. Experience with causal inference techniques such as uplift modeling, instrumental variables, or difference-in-differences. Familiarity with Gojek, GoFood, or other on-demand platforms in Southeast Asia. About the Team The Food, Ads & Merchant Data Science team works on some of the most high-leverage problems in GoFood, where smarter ad systems can unlock meaningful growth for merchants and sustainable revenue for the platform. As Indonesia's largest food delivery service, GoFood connects millions of users with their favourite meals every day, and advertising plays a critical role in shaping discovery, choice, and conversion. We tackle real-world questions at the heart of marketplace dynamics: How do we optimize ad ranking and bidding to balance relevance with revenue How can we help merchants of all sizes grow through effective, measurable ad solutions How do we design experimentation strategies that work in noisy, high-stakes environments Solving these challenges requires more than just good models-it takes a deep understanding of product, experimentation at scale, and a strong feedback loop between data science, engineering, and business. We're equipped with rich datasets, modern MLOps infrastructure, and strong cross-functional support to move fast and build with confidence. About GoTo Group GoTo Group is the largest digital ecosystem in Indonesia with its mission to Empower Progress by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia's vast consumer household. About Gojek Gojek is Southeast Asia's leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market. About GoTo Financial GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: is India's leading sports technology company with 250 million users, housing brands such as, the world's largest fantasy sports platform,, a premier sports content & commerce platform and, a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 Sportans. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports vision is to Make Sports Better for fans through the confluence of sports and technology. For more information: is the world's largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India's leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

About the Team Our Data Science team is the Avengers to Meesho's S.H.I.E.L.D ?????. And why not We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We've barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. About the Role As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods. You'll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business's bottom line. This role requires technical excellence and business acumen and you'll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform we're your partner in turning dreams into realities. Curious about life at Meesho Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India. Our Mission Democratising internet commerce for everyone - Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online. We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners. Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements - monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or Mantras, are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like Problem First Mindset, Listen or Die, our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We offer competitive compensation - both cash and equity-based - tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks. To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience. Know more about Meesho here :

Changing the world through digital experiences is what Adobe is all about. Offering a platform to emerging artists and global brands alike, we equip them with the tools necessary to design and deliver exceptional digital experiences. Our passion lies in empowering individuals to create captivating images, videos, and apps, revolutionizing how companies engage with customers across various screens. Committed to hiring the best talent, we strive to provide exceptional employee experiences that prioritize respect and equal opportunity. At Adobe, we believe that innovation can stem from any member of our organization, including you. Join us in our mission to explore new possibilities and shape the future of digital experiences. We are seeking a dynamic Research Scientist to join our Media and Data Science Research (MDSR) Laboratory within the Digital Experience (DX) business unit at Adobe. This role offers a unique opportunity to engage in cutting-edge research that will redefine the landscape of digital experiences. As a member of our ambitious team, you will tackle innovative research challenges, develop solutions to transform business operations, and contribute to the creation of impactful products. **Responsibilities:** - Lead research initiatives in areas such as Natural Language Processing, Computational Social Science, Computer Vision, and Machine Learning. - Collaborate with product teams to translate research advancements into meaningful products. - Design and execute evaluations related to creative intelligence and marketing performance. - Develop scalable techniques for synthetic data generation and evaluation. - Analyze complex, high-volume data from diverse sources and train models to derive insights. - Integrate machine learning models into Adobe's Experience Manager and Experience Platform. - Collaborate with cross-functional teams to prototype and transition research concepts into production. **Requirements:** - Expertise in areas such as Large Language Models, Computer Vision, Natural Language Processing, and more. - Track record of publications in prestigious conferences and journals. - Hands-on experience deploying solutions in production environments. - Proficiency in analyzing large datasets and deriving actionable insights. - Strong problem-solving skills and ability to take research risks independently. - BTech or PhD degree in Computer Science, Statistics, Economics, or related fields. - Minimum seven years of post-PhD experience for senior positions. In this role, you will thrive if you are a collaborative team player, possess a passion for empirical research, excel in project leadership, and have experience working in complex technical environments. Additionally, familiarity with relational databases, SQL, and large-scale data systems is advantageous. Adobe is committed to creating an inclusive workplace and providing accommodations for individuals with disabilities. We uphold policies to ensure a fair and open marketplace for all employees, promoting a culture of diversity and innovation.,

At GSK, we bring together science, technology, and talent to proactively combat diseases on a global scale, striving to improve the lives of millions of patients by constantly pushing the boundaries of respiratory science and infectious diseases, including vaccines and HIV. Our commitment to ESG leadership enables us to address some of society's most pressing challenges. We firmly believe that by working together, we can positively impact the health of over 2.5 billion people by the year 2031. When you embark on your journey at GSK, we enter into a mutual agreement. You pledge to embody our values and excel in our focus areas of Innovation, Performance, and Trust. In return, GSK is dedicated to fostering an environment where you can flourish. Together, we create a supportive ecosystem where each of us can thrive and concentrate on what truly matters to us. The primary responsibilities of the current role include leading a molecule from various quantitative strategy perspectives, overseeing a team of statisticians aligned with a specific disease area/research unit, and actively contributing to and steering organizational strategies at both global and India-level leadership teams (LT). Your role expectations encompass several key areas: **Statistical Expertise and Accountability:** - Ensuring top-notch statistical input throughout the design, execution, and interpretation of all statistical components in Medicine development at the molecule level. - Collaborating closely with cross-functional Project Team members to ensure project milestones are met within established quality, timeline, and budget parameters. - Upholding compliance expectations and regulatory requirements. **Technical Excellence:** - Demonstrating proficiency across a wide range of statistical methodologies, from established techniques to emerging approaches. - Applying optimal statistical and trial design methodologies while keeping abreast of methodologies used by other quantitative groups. - Committing to continuous learning and development in alignment with organizational objectives. **Science and Strategic Collaboration:** - Working with project and asset teams to optimize development strategies by leveraging diverse data sources. - Leveraging strong disease knowledge and competitor intelligence to drive data-driven decisions and solutions in drug development challenges. **Innovation and Problem Solving:** - Promoting innovation in evidence generation and clinical trial design by utilizing state-of-the-art statistical methods. - Contributing to problem-solving through advanced statistical approaches and fostering innovation in data utilization across development programs. **Communication and Influencing:** - Representing Biostatistics effectively in interactions with various stakeholders. - Articulating complex statistical concepts in a clear manner for non-statisticians. - Building and managing robust networks and relationships with key stakeholders to proactively influence project outcomes. **Leadership and People Development:** - Acting as an effective leader in business line and matrix roles. - Leading the development of Biostatistics talent and capabilities. - Setting clear objectives and priorities as a First Line Leader (FLL), actively engaging in development and performance goal-setting, and focusing on enhancing team capabilities. **Qualifications:** - Educational Background: PhD or Masters degree in Biostatistics, Statistics, Mathematics, or a related quantitative discipline. Advanced training in statistical methodologies, clinical trial design, or data science is preferred. - Technical Expertise: Strong foundation in statistical methodologies, proficiency in statistical programming environments such as R, and solid domain knowledge in drug development lifecycle. - Experience: 10-15 years of biostatistics experience in the pharmaceutical or healthcare industry, showcasing leadership in statistical strategies and innovative trial designs. At GSK, we are committed to fostering an inclusive environment where diversity is embraced, and reasonable adjustments are made during the recruitment process to support all candidates. If you require any accommodations, please reach out to our Recruitment Team at IN.recruitment-adjustments@gsk.com. Join us at GSK for the opportunity to unite science, technology, and talent to proactively combat diseases and positively impact the health of billions of people worldwide. Together, we can make a difference.,

Join our dynamic team as a Project Manager and lead transformative projects that shape the future of our industry by advancing both traditional artificial intelligence/machine learning and generative artificial intelligence capabilities, identifying priorities and focusing on high-impact artificial intelligence use cases, setting the Generative AI strategy around Large Language Models and Agentic AI, reusing and scaling AI solutions across lines of business, fostering a culture of innovation and an AI-first mindset among Equities Operations Transformation teams. As a Project Manager within JPMorganChase, you will be a key driver in transforming strategic plans into tangible programs and projects, delivering impactful results across various business units. You will leverage your deep knowledge and expertise in project management and artificial Intelligence to navigate complex issues, make informed decisions, and ensure the successful execution of programs. Your role will involve significant cross-functional collaboration, data analysis, and conflict management to align operations initiatives with business strategy. You will also be responsible for building and leading diverse teams, delegating tasks effectively, and fostering an environment of continuous learning and growth. In this role, your strategic thinking, agility in adapting to change, mastery of AI tools, and commitment to delivering outstanding customer service are essential. Job responsibilities Lead the transformation of strategic plans into high-impact programs and projects, utilizing your expertise in project management and strategic thinking to deliver results across various business units. Oversee the execution of programs, ensuring alignment with business strategy, effective risk mitigation, and timely delivery of commitments. Utilize data analytics to monitor program progress, make informed decisions, and direct necessary adjustments to ensure the successful delivery of program commitments. Build, lead, and manage diverse teams, fostering an environment of continuous learning and growth, and effectively delegating tasks to ensure efficient and effective achievement of objectives. Engage with senior management and stakeholders, providing regular updates on program progress, and collaborating to resolve any arising issues. Work closely with subject matter experts to learn about the business and identify innovative AI solutions, balancingtechnical excellence with tangible commercial impact. Required qualifications, capabilities, and skills Proven ability to lead and manage complex programs or projects, delivering results across various business units, typically demonstrated through 4+ years of relevant experience. Demonstrated proficiency in data analytics, with the ability to interpret models, make inferences from data, and provide continuous insight for program execution. Proven experience in conflict management, with the ability to identify conflicts, facilitate discussions, and create win-win solutions using collaboration or negotiation strategies. Proficiency in strategic thinking, with the ability to use data to understand issues and opportunities, evaluate potential scenarios, and collaborate on strategy and priority development. Deep expertise in both traditional AI/ML and generative AI and Passion for problem solving and innovative (out of the box) thinking Preferred qualifications, capabilities, and skills Extensive Artificial Intelligence use cases to enhance project outcomes and drive data-driven decision-making. Hands-on automation to streamline project workflows and increase operational efficiency. Deep expertise in statistical analysis, experimental design, and causal inference. Proficiency in Python, orchestration frameworks, SQL and other analytical tools.

As a Quantitative Analyst at Google, your role will be crucial in driving data-informed decision-making across the organization. With a Master's degree in Statistics or Economics, or a related field, along with 8 years of experience in using analytics to tackle product or business challenges, you will be expected to leverage your expertise in coding (e.g., Python, R, SQL) and statistical analysis. Alternatively, if you hold a PhD, 6 years of relevant work experience will also be considered. Your responsibilities will revolve around conducting statistical data analysis encompassing linear models, multivariate analysis, causal inference, and sampling methods. Proficiency in statistical software such as SQL, R, Python, MATLAB, and pandas, as well as database languages, will be essential in executing tasks related to Statistical Analysis, Modeling, and Inference. Preferred qualifications for this role include the ability to translate analysis outcomes into actionable business recommendations. You should possess a deep understanding of causal inference methods like split-testing, instrumental variables, difference-in-difference methods, among others. Moreover, your experience should include selecting appropriate tools for resolving data analysis challenges, articulating business queries, and utilizing data-driven approaches to arrive at solutions. Familiarity with structural econometric methods will be an added advantage. In this position, you will collaborate with various teams and leaders within Google, partnering with Engineers and Product Managers to identify opportunities for design enhancements and assess improvements in advertising measurement products. Your role will involve defining questions related to advertising effectiveness, incrementality assessment, privacy impact, user behavior, brand building, bidding strategies, among others. You will be responsible for developing and implementing quantitative methods to address these questions, working with large and intricate data sets. Your analytical prowess will be put to the test as you tackle complex and non-routine analysis problems, applying advanced methods to derive meaningful insights. From data gathering and exploratory data analysis to model development and result delivery, you will play a vital role in shaping Google's operational efficiency and client solutions. By building and iterating on analysis pipelines, you will provide scalable insights and advocate for necessary changes in Google's data structures and metrics to drive product development forward.,

You are a motivated and technically skilled Data Scientist with 4+ years of experience in applying AI/ML techniques to solve real-world problems. You possess a solid foundation in machine learning, statistical modeling, and data analysis, with hands-on experience working with large datasets and deploying models in production environments. Your key responsibilities include designing, developing, and deploying machine learning models and AI solutions for business problems across multiple domains. You will collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven solutions. Conducting exploratory data analysis (EDA), feature engineering, and model selection using industry best practices are essential. You will also perform experiments, model validation, and performance tuning, as well as build reusable code and libraries for future use while contributing to data science platform improvements. Presenting findings and insights clearly to both technical and non-technical stakeholders is a crucial part of your role. You should have 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems. Proficiency in Python and relevant libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc., is required. A strong understanding of supervised, unsupervised, and reinforcement learning techniques is necessary. Experience with SQL, data wrangling, and working with large datasets is expected, and exposure to cloud platforms like AWS, Azure, or GCP is a plus. Familiarity with MLOps, model deployment, and version control (e.g., Git) is beneficial. Preferred qualifications include experience working with NLP, computer vision, or time-series forecasting, as well as familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, Tableau. An understanding of A/B testing, causal inference, and statistical hypothesis testing is advantageous. You should be able to work in a fast-paced, agile environment with minimal supervision and have experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling. In terms of the tech stack, you should be familiar with languages and frameworks like Python, Java, SQL, JavaScript/TypeScript, and tools such as TensorFlow, PyTorch, and Scikit-learn. Cloud platforms like GCP Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, and Pub/Sub are essential. Knowledge of data and MLOps tools like BigQuery, AlloyDB, MongoDB, Redis, relation databases (e.g., Oracle, MySQL, MSSQL), and MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) is required. Understanding of GenAI and agents such as Vertex AI Gemini, OpenAI, Claude, LangChain, LlamaIndex, FAISS, Pinecone, RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, and prompt chaining is beneficial. Dev tools like GitHub Copilot, ChatGPT, Cursor AI, or any other Gen AI tools are also part of the tech stack you will work with.,

You are an exceptional and highly motivated Lead Data Scientist with experience in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field. You will spearhead the design, development, and deployment of an automotive OEMs next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. As a recognized expert in advanced forecasting methodologies, you will possess a strong foundation in data engineering and MLOps principles. You will demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. **Role & Responsibilities:** **Strategic Leadership & Application Design:** Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems. Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques. Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. **Advanced Model Development & Research:** Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques including Time Series Analysis, Machine Learning, Deep Learning, Probabilistic Forecasting, and Hierarchical & Grouped Forecasting. Incorporate diverse data sources and conduct extensive exploratory data analysis to identify patterns and key features influencing automotive forecasts. Stay abreast of the latest academic research and industry advancements in forecasting, machine learning, and AI. **Application Development & Deployment (MLOps):** Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management. Collaborate closely with cross-functional teams to ensure seamless integration, deployment, and maintenance of the application. **Performance Evaluation & Optimization:** Define and implement rigorous evaluation metrics for forecasting accuracy and business impact. Perform A/B testing and comparative analyses to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. **Collaboration & Mentorship:** Work cross-functionally with various business units to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly to technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers. **Requirements:** **Qualifications & Skills:** Education in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related field. 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Technical proficiency in Python, R, Machine Learning/Deep Learning Frameworks, Forecasting Specific Libraries, Data Warehousing & Big Data Technologies, Cloud Platforms, MLOps, Data Visualization, and strong analytical skills. **Preferred Qualifications:** Publications in top-tier conferences or journals, experience with real-time forecasting systems, familiarity with automotive data types, experience with distributed version control systems, and knowledge of agile development methodologies. **Soft Skills:** Exceptional communication, collaboration, intellectual curiosity, strategic thinking, mentorship, resilience, and adaptability. This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. If you are looking to play a pivotal role in shaping a rapidly growing venture studio, thrive in a collaborative, innovative environment, access professional development opportunities, and enjoy competitive benefits, then you may be a great fit for this position.,

As a Staff Data Scientist at Uber Eats, you will play a crucial role in enhancing the search experience for millions of users worldwide. Your deep statistical expertise will drive decision-making, improve product performance, and ensure that our evaluations and insights are based on methodological rigor. Your responsibilities will include conducting robust statistical analyses on complex datasets to identify product opportunities, shape roadmap priorities, and optimize user experiences in search. You will design and evaluate A/B tests and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Building and maintaining statistical frameworks for defining and measuring ground truth will be a key aspect of your role, to identify reliable signals for evaluating search relevance, personalization, and user satisfaction. You will apply advanced sampling strategies to construct representative datasets for both offline and online evaluation pipelines, ensuring scalability and statistical power. Developing rigorous evaluation metrics that reflect real-world product performance and align closely with user and business goals will be essential. Additionally, you will lead initiatives to enhance causal inference practices across the team, applying methods like matching, regression discontinuity, and difference-in-differences where appropriate. Collaborating with product managers, engineers, and other scientists, you will translate open-ended product questions into structured analytical approaches. Providing mentorship and technical leadership to other scientists, you will promote a culture of statistical excellence and continuous learning within the team. To excel in this role, you should have an M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related quantitative field. With 10+ years of industry experience in data science or applied analytics, ideally in consumer products, search, or recommendation systems, you should possess deep expertise in ground truth design and evaluation methodologies for complex user-facing systems. Your proven experience with statistical sampling techniques, offline evaluation pipelines, experimentation design, causal inference, and observational data analysis will be valuable. Proficiency in tools like SQL, Python, and R for data manipulation, modeling, and visualization is required. Excellent communication skills are essential, as you will need to present statistical findings clearly and influence product and engineering decisions through data. Having a strong product sense and the ability to balance analytical rigor with practical business impact will be advantageous in this role.,

You will join Salesforce, a company that aims to inspire the future of business through the integration of AI, data, and CRM. Upholding core values, Salesforce empowers companies across various industries to innovate and engage with customers in unique ways. As a member of the team, you will have the opportunity to become a Trailblazer, enhancing your performance, advancing your career, and contributing to positive change in the world. As an experienced Data Scientist, your primary responsibility will be to develop marketing attribution, causal inference, and uplift models to enhance the efficiency and effectiveness of marketing initiatives. This role will involve designing experiments and ensuring a consistent approach to experimentation and campaign measurement across marketing, customer engagement, and digital use cases. The ideal candidate will possess extensive experience in creating statistical models and AI/ML algorithms for marketing and digital optimization on large-scale datasets within a cloud environment. Rigorous testing and evaluation of algorithm performance will be essential, both during development and in production. Moreover, a deep understanding of statistical and machine learning techniques is necessary, along with a commitment to the ethical use of data in algorithm design. Key Responsibilities: - Develop statistical and machine learning models to enhance marketing effectiveness, including attribution models, causal inference models, and uplift models. - Create optimization and simulation algorithms to optimize marketing spend across channels and improve ROI. - Lead the entire model development lifecycle from ideation to deployment, monitoring, and tuning. - Design experiments to support marketing, customer experience, and digital campaigns, and collaborate with peers to establish consistent experimentation and measurement approaches. - Cultivate strong cross-functional relationships and collaborate with key partners throughout the organization. - Stay updated on innovations in enterprise SaaS, AdTech, paid media, data science, customer data, and analytics fields. Required Skills: - 8+ years of experience in designing models for marketing optimization using statistical and machine learning techniques. - Proficiency in developing advanced statistical techniques for experiment design and causal inference methods. - Expertise in programming languages such as Python, R, PySpark, Java, and SQL. - Experience with cloud platforms like GCP and AWS for model development and deployment is preferred. - Strong quantitative reasoning skills and the ability to provide data-driven business insights. - Excellent written and verbal communication skills with a collaborative mindset. - Ability to simplify complex problems and a creative approach to finding solutions. - B2B customer data experience and knowledge of Salesforce products are advantageous.,

At Instawork, our mission is to create meaningful economic opportunities for local businesses and skilled hourly professionals in communities around the world. We're building the leading AI-powered labor marketplace and we're looking for exceptional talent to help us scale quickly and make an even greater impact. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're transforming the way the world works. As a Manager of Product Analytics, you will lead a team of product analysts embedded with cross-functional product teams. You'll play a central role in shaping how we measure success, identify opportunities for growth, and drive better decision-making through data. This role is ideal for a player-coach who thrives in fast-paced environments, understands marketplace dynamics, and is excited to help shape the trajectory of a product that has a real-world impact on our professionals and partners. What You'll Do: - Partner closely with Product, Engineering, and Design to shape product roadmaps and influence strategy with data. - Define and refine KPIs that accurately reflect product and business performance. - Develop insights that improve marketplace health; drive user activation and reduce churn; and optimize user engagement. - Lead and mentor a team of product analysts, creating a culture of curiosity, rigor, and business impact. - Establish best practices for analytics workflows, knowledge sharing, and stakeholder engagement. - Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner. - Stay up-to-date with the latest industry trends and advancements in data analysis techniques. What We're Looking For: - 7+ years of experience in product analytics, data science, business operations or related roles, with at least 2 years managing analysts or data teams. - Track record of fostering talent in high-growth environments. - Strong proficiency in SQL and experience with experimentation and causal inference techniques. - Hands-on experience using BI tools like Mode, Tableau, or Looker, and scripting languages like Python or R. - Demonstrated success driving impact in a product-led or marketplace business. - Ability to synthesize complex analyses into clear, strategic recommendations for both technical and non-technical audiences. - Experience working in cross-functional teams with product managers, designers, and engineers. - Entrepreneurial self-starter that thrives in a fast-moving environment and is capable of independently seeking information, marshaling resources, and delivering results without waiting for direction. Instawork Values: - Bias for Action -- We are a growing team and an evolving product. We want a team of doers to drive the company forward, even if it means making decisions with incomplete information or being wrong. - Act Like an Owner -- Treat this company as though it is your own. Execute on the fundamentals, and act creatively to drive growth. Your ability to drive impact in any part of our company is only limited by your courage and conviction, not your job title. - Always Be Learning -- We are changing an entire industry. We strive to learn from each other and get better each day, week, and month, so that our team's learnings can compound and we can all improve, together. - Empathy, Trust, Candor -- Empathy for our business partners and professionals means we put ourselves in their shoes. Empathy for our colleagues means we are always upfront and honest with each other, which comes from trust. About Instawork: Founded in 2015, Instawork is the leading flexible work app for local, hourly professionals. Its digital marketplace connects thousands of businesses and more than five million workers, filling a critical role in local economies. Instawork has been featured on CBS News, the Wall Street Journal, The Washington Post, Associated Press, and more. In 2022, Instawork was ranked among the country's top 10% of fastest-growing companies by Inc. 5000 and was included in the Forbes Next Billion Dollar Startup list. Instawork was also named the 2022 ACE Award recipient for Best Innovation and one of the Best Business Apps by Business Insider. Instawork helps businesses in the food & beverage, hospitality, and warehouse/logistics industries fill temporary and permanent job opportunities in more than 25 markets across the U.S. and Canada. At Instawork, we constantly evaluate how to build an optimal work environment for success. Currently, we operate on a hybrid model, but we remain open to adapting our policies to meet the needs of our evolving business and team dynamics. As we continue to grow, we're seeking candidates who are excited about contributing to our in-person culture and open to the idea of working in-office up to 5 days a week. We value diversity on our team and firmly believe Instawork is stronger when we hire people who make their own unique contributions to our culture. We welcome all applicants and encourage candidates from underrepresented backgrounds to apply. To learn more about our company values, please visit: https://info.instawork.com/about Personnel Privacy Policy,

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

The Conversational AI team at Walmart is responsible for building and deploying core AI assistant experiences across Walmart, catering to millions of active users globally. As a Staff Data Scientist, you will play a crucial role in leading the evolution of the AI assistant platform by developing highly scalable Generative AI systems and infrastructure. This hands-on leadership position requires expertise in machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Your responsibilities will include partnering with key business stakeholders to drive the development and planning of proof of concepts and production AI solutions within the Conversational AI space. You will be involved in translating business requirements into strategies, initiatives, and projects aligned with business objectives. Designing, testing, and deploying cutting-edge AI solutions at scale to enhance customer experiences will be a key aspect of your role. Collaboration with applied scientists, ML engineers, software engineers, and product managers will be essential in developing the next generation of AI assistant experiences. Staying updated on industry trends in Generative AI, Speech/Video processing, and AI assistant architecture patterns will be crucial. Additionally, providing technical leadership, guidance, and mentorship to a skilled team of data scientists, as well as driving innovation through problem-solving cycles and research publication, are integral parts of this role. To qualify for this position, you should have a Master's degree with 8+ years or a Ph.D. with 6+ years of relevant experience in Computer Science, Statistics, Mathematics, or a related field. A strong track record in a data science tech lead role, extensive experience in designing and deploying AI products, and expertise in machine learning, NLP, speech processing, image processing, and deep learning models are required. Proficiency in industry tools and technologies, a deep interest in generative AI, and exceptional decision-making skills will be assets in this role. Furthermore, you should possess a thorough understanding of distributed technologies, public cloud platforms, and big data systems, along with experience working with geographically distributed teams. Business acumen, research acumen with publications in top-tier AI conferences, and strong programming skills in Python and Java are also essential qualifications for this position. Join the Conversational AI team at Walmart Global Tech, where you will have the opportunity to make a significant impact, innovate at scale, and shape the future of retail while working in a collaborative and inclusive environment.,

You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Your role will also include designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. Collaboration with logistics, operations, procurement, and IT teams will be essential to comprehend business challenges and translate them into data science solutions. You will utilize SQL, Python, R, and big data tools to extract, clean, and prepare datasets for analysis and modeling purposes. Additionally, deploying models into production and monitoring their performance to ensure accuracy and reliability over time will be part of your responsibilities. In this position, you will contribute to strategic initiatives like logistics network design, warehouse automation, and sustainability optimization. Conducting A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies will also be a key aspect of your role. This is a full-time position with benefits including health insurance and provident fund. The work schedule is during day shifts and the work location is in person.,

You will be an Applied Economist - Full-Stack Data Science (R + Shiny) Intern at a fast-growing health-tech & wellness startup located in Noida. As part of the role, you will manage the complete data cycle, including extraction, cleaning, analysis, and visualization, to transform complex financial data into actionable insights. Your primary responsibilities will involve working with raw financial and operational data to extract, clean, analyze, and visualize information. You will be expected to create and maintain interactive dashboards using tools like Shiny, automate financial reporting, develop forecasting models, and collaborate with various teams to deliver data-driven insights. To excel in this role, you must have proficiency in R (preferred) or Python for handling real-world data, building Shiny dashboards for real-time insights, and possess strong analytical and problem-solving skills. A good understanding of financial metrics, forecasting, and the ability to communicate insights clearly are essential for success. The ideal candidate will have a background in Economics, Applied Statistics, or Data Science, with fluency in R, especially for dashboarding using Shiny. Additionally, you should have a strong grasp of causal inference, forecasting, and behavioral trends, along with experience in backend deployment for server-side operations. If you are looking for an opportunity to own and lead data-driven projects in a collaborative and learning-focused environment, where your work directly impacts company decisions, then this internship could be the perfect fit for you. Upon demonstrating exceptional performance during the 23-month internship, there is a high likelihood of a full-time job offer.,

As a key member of the GSK organization, you will be responsible for enhancing our disease understanding and shaping the future of the Asia Development Biostatistics function. Your role will involve utilizing statistical methods and machine learning techniques to support business critical projects and drive disease-aligned decision-making in R&D. By applying advanced statistical methodologies and collaborating with global functional groups, you will play a crucial role in optimizing analytical methods and ensuring robust evidence for informed decision-making. Your responsibilities will include identifying opportunities to enhance disease understanding, leading strategic projects within Asia Development Biostatistics, and presenting statistical principles and results to stakeholders at all levels. Additionally, you will interact with external scientific groups and vendors to contribute to innovation and the adoption of novel statistical methodologies within GSK Asia and the pharmaceutical industry. To be successful in this role, you should have a PhD in Statistics or a related field, along with a minimum of 10 years of experience in drug development and 5 years of experience in a leadership role. Your knowledge of the drug development process and demonstrated ability to influence positive change will be essential. Additionally, experience in applying various statistical methodologies, digital fluency, and strong communication skills will be beneficial for this position. If you are a proactive and driven individual with a passion for patients, a keen interest in clinical statistics, and a track record of delivering high-quality results under tight deadlines, we encourage you to apply. This role offers the opportunity to lead innovation in Asia Development Biostatistics and contribute to the success of GSK on a global scale.,