Senior Data Scientist

Join our dynamic team as a Senior Data Scientist II at The Nielsen Company, where you will play a pivotal role in driving data-driven decision-making across various sectors. As a part of our innovative team, you will leverage advanced data analytics and machine learning techniques to extract insights and enhance our analytical capabilities.

Join Continental AG as a Senior Data Scientist where you will leverage your expertise in data analytics, machine learning, and statistical modeling to drive innovative solutions. Collaborate with cross-functional teams to transform complex data into actionable insights that enhance decision-making and optimize performance.

Join Wabtec Corporation as a Senior Data Scientist, where you will leverage your expertise in data analytics and machine learning to drive innovative solutions in the transportation sector. Your role will involve building predictive models, analyzing complex datasets, and collaborating with cross-functional teams to optimize performance and enhance decision-making processes.

Join Tide as a Senior Data Scientist and make an impact in the financial technology sector. In this role, you will leverage your expertise in data analytics and machine learning to drive insights and innovations that shape our product offerings.You will work collaboratively with cross-functional teams to solve complex business problems, develop predictive models, and enhance our data infrastructure. If you are passionate about data and want to be part of a dynamic team that values creativity and innovation, we want to hear from you!

At Valtech, we are pioneers in experience innovation, collaborating with some of the world's most esteemed brands. We offer an empowering workplace where our employees can thrive with ample opportunities for growth, a culture rooted in strong values, and the chance to influence the future of digital experiences.Your RoleAs a Senior Data Scientist, your passion for innovative experiences will drive you to push the limits of what is achievable. With over 4 years of professional expertise, a proactive mindset, and a commitment to creating significant changes, you will play a vital role in transforming industries.Why Join Us?We take pride in our:Innovative projects and industry-leading workCore values of share, care, and dareA vibrant workplace culture that encourages creativity and autonomyA global framework that facilitates seamless collaboration

Role overview Toast Inc. seeks a Senior Data Scientist in Bengaluru, Karnataka. The role centers on transforming complex data sets into clear, actionable insights that support business decisions. What you will do Create and implement advanced analytical models to address business challenges Collaborate with cross-functional teams to identify data requirements and set priorities Develop solutions that enhance company operations and improve customer experiences with Toast products

Job Overview:As a Senior Data Scientist at jiostar, you will leverage sophisticated statistical methods, artificial intelligence, and machine learning techniques to create models that foster a personalized experience for our end users. Your work will enable consumers to swiftly navigate their content choices, forecasting preferences across a diverse array of offerings, from live sports to on-demand content. Your primary focus will be on enhancing recommendation engines that optimize complex metrics, including user lifetime value (LTV) and conversion funnels.About Our Team:The Central Analytics team operates within a dynamic matrix structure, collaborating closely with various business units and product teams to serve as a strategic partner. We provide actionable insights that drive informed decision-making across JioHotstar’s content and marketing initiatives. In an era of limitless entertainment options, we decode consumer behavior and content consumption patterns, employing innovative solutions through GenAI and rigorous analytical frameworks. Our mission is to keep teams focused on the key performance indicators and strategic drivers that matter most.

At Branch Metrics, we empower every interaction with effective links and actionable insights that drive measurable growth. From the initial click to conversion, we ensure you can quantify your growth. Our unique attribution solutions, strengthened by AI-driven linking, are designed to enhance user experiences, boost ROI, reduce wasted spend, and eliminate fragmented attribution.We approach team building with the same commitment, enabling our team members to act swiftly, take ownership of their outcomes, and create impactful results. We pride ourselves on investing in the health, wealth, and personal development of our team, fostering an environment where individuals can flourish as we expand. Our culture celebrates smart, humble, and collaborative team members who are accountable and results-driven, all while contributing significantly to our business goals.As a company, we are innovative and purpose-driven, guided by experienced leaders adept at building sustainable companies. Trusted by renowned brands such as Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we strike the ideal balance of being impactful yet nimble enough for you to make a significant difference. If you are passionate about building, rapid learning, and shaping the future of customer growth, you will find a welcoming home with us.We are in search of a talented and seasoned Senior Data Scientist to spearhead our initiatives in optimizing ad display on native Android surfaces. In this position, you will devise and implement data-driven strategies aimed at maximizing ad effectiveness, user engagement, and revenue generation. Your collaboration with product managers, engineers, and cross-functional teams will be crucial in driving innovation, enhancing ad relevance, and ensuring a seamless user experience.

Role Overview Freshworks is looking for a Lead Data Scientist in Bengaluru. This role centers on guiding data-driven strategies and using advanced analytics to inform business decisions. The position offers the chance to work closely with teams across the company to build solutions that improve Freshworks products. What You Will Do Apply data analysis, machine learning, and statistical modeling to uncover insights that shape business direction Partner with cross-functional teams to design and implement new solutions Contribute to developing and enhancing Freshworks product offerings through data-driven approaches

Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.

Weekday-1 is looking for a Senior Data Scientist to advance its voice AI platform. This full-time role is based in Bengaluru, Karnataka, and centers on developing AI systems that enable accurate, natural conversations at scale. Role overview This position involves building and refining machine learning models that process large volumes of conversational data. The work requires a focus on natural language understanding and real-time speech technologies, supporting major Indian enterprises. What you will do Lead the full cycle of machine learning model development, from requirements gathering and algorithm design to implementation and deployment. Create conversational intelligence models that handle hundreds of thousands of conversations daily, with an emphasis on precision and fluency. Keep up with advances in NLP and speech technology by reviewing research and applying new methods to improve the platform. Design and maintain scalable, reliable ML pipelines that grow with increasing data volume. Analyze and enhance model performance to ensure smooth, real-time voice interactions. What sets this role apart Direct impact on the development of advanced AI models for voice intelligence. Hands-on work with natural language understanding, speech recognition, and conversational AI tools. Support for conversations used by leading Indian enterprises, including validation from organizations like Paytm. Influence over the accuracy, speed, and capabilities of core AI systems. Help build essential AI infrastructure that enables hundreds of thousands of natural conversations every day. Requirements At least 5 years of relevant experience in data science or machine learning. Based in Bengaluru, Karnataka. Full-time availability. Compensation Salary range: ₹3,000,000 – ₹6,000,000 (INR 30 – 60 LPA)

Join Zeta Global as a Senior Data Scientist. We are in search of a seasoned professional to enhance our Machine Learning team. In this role, you will be pivotal in designing, building, and scaling machine learning solutions that drive marketing intelligence, campaign optimization, and overall business performance.Your responsibilities will encompass the entire machine learning lifecycle, from data engineering and feature development to model deployment and performance monitoring, all within a cloud-based, distributed environment.

We are seeking a passionate Data Scientist with a strong affinity for solving complex problems involving large datasets. The ideal candidate will have a solid understanding of machine learning algorithms and principles, complemented by exceptional organizational and interpersonal skills.Key Responsibilities:Analyze and extract meaningful insights from unstructured data while adhering to organizational guidelines.Collaborate in the development of components for frameworks or products.Utilize database management systems such as Oracle or MS SQL Server.Employ programming languages and tools including JQuery, JavaScript, HTML, CSS, SVN, and GIT.

Tilt creates mobile-first financial products designed for people often left out by traditional lenders. Using machine learning and more than 250 real-time financial indicators, Tilt looks past standard credit scores to find real opportunities for millions of customers. The company aims to make financial access fairer and help individuals reach their goals. Role overview NIRA, part of Tilt, is a fintech company in India where data science is central to business growth. The data science team is expanding its modeling work across the full credit lifecycle, supporting smarter decisions, better pricing, improved collections, and a deeper understanding of customers. As a Senior Data Scientist in Bengaluru (hybrid), you will join a close-knit team and work on projects that directly influence business results. Team members collaborate with colleagues in Bangalore, the Philippines, and Mexico. What you will do Build and manage credit models: Design and oversee models for decisioning, pricing, bank statement analysis, collections, and marketing. These models have a direct impact on business performance. Turn data into action: Address current gaps by developing behavioral models, collections frameworks, and risk-based pricing strategies. Use insights from data to guide your work, with at least one decisioning model already live. Lead projects end to end: Scope, explore, deploy, and monitor your own projects. Take initiative to improve processes when you see opportunities. Communicate clearly: Explain complex modeling concepts to moderately technical stakeholders. Present new ideas and help align the team around your approach. Collaborate across borders: Work closely with data scientists in Bangalore, the Philippines, and Mexico. Share insights and keep information moving between teams. Apply AI tools creatively: Use AI platforms such as Claude in your daily work, bringing a creative approach to problem solving. Requirements Hands-on experience building credit models for decisioning and risk scoring. Experience in fintech or non-bank lending is preferred. Location This is a hybrid position based in Bengaluru, India.

Job Summary: Join us as a Senior Data Scientist, where your expertise will play a pivotal role in enhancing user acquisition through data-driven strategies. You will be responsible for the design and implementation of advanced machine learning models and decision-making systems that boost subscription growth across both direct-to-consumer (D2C) and B2B/partner channels. If you are passionate about integrating data with product innovation and making a significant impact on how millions engage with subscriptions, this position is tailored for you!About the Team: Our Subscriptions and Payments Team drives the comprehensive direct monetization engine for India's largest subscription platform, boasting over 250 million subscriptions. We develop robust, scalable systems to acquire users through D2C and partner channels, minimizing churn through intelligent renewal and retry strategies. Our integration with global and local payment systems, including UPI Autopay and card mandates, ensures seamless onboarding, high retention rates, and reliable payments, fostering frictionless subscription experiences across diverse geographies and devices.

About Euromonitor InternationalEuromonitor International is a global leader in data analytics and market research, providing comprehensive insights into markets, industries, economies, and consumer behavior. We deliver unparalleled data on thousands of products and services, establishing ourselves as the primary resource for organizations aiming for growth. With our insights, clients are empowered to make informed, strategic decisions confidently.About the RoleAs a Finance Data Scientist, you will play a pivotal role in transforming how Finance, Operations, and Commercial teams utilize data to inform decision-making processes. This hybrid position merges deep financial expertise with advanced analytics, data modeling, and visualization skills. Your work will support both structured reporting and intricate, ad hoc problem-solving, ensuring the organization has precise, trustworthy, and forward-looking insights.You will collaborate closely with various teams including FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior business leaders. A significant aspect of this role is to modernize financial reporting, enhance forecasting capabilities, and develop scalable analytical products that improve business understanding. This position is vital in connecting Finance with Technology and Data teams, guaranteeing that financial logic, controls, and definitions are seamlessly integrated into data products and reporting systems. You will need to be a confident presenter, capable of communicating effectively and gaining buy-in from a diverse range of stakeholders.Key ResponsibilitiesLead and execute financial analyses, modeling, and scenario planning.Support FP&A cycles, including budgeting, forecasting, and performance evaluations.Develop and refine Power BI dashboards (utilizing Power Query, DAX, and advanced data modeling) that serve as authoritative sources across revenue, cost, margin, headcount, and operational KPIs.Create predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to enhance forecasting accuracy and operational performance.Translate business rules and financial logic into robust, governed data models while embedding reconciliation processes and financial controls within data pipelines.Work closely with FP&A, Finance, Data Engineering, Data Product Management, HR/Reward, Sales Operations, and senior leaders on impactful analytical projects and ad hoc problem-solving initiatives.Automate reporting refreshes and pipelines, streamlining manual reporting processes into reliable and repeatable systems.

Company OverviewCommerceIQ’s AI-driven digital commerce platform is transforming the way brands manage online sales. Our integrated ecommerce management solutions empower brands to make informed and rapid decisions through insights that enhance digital shelf performance, boost retail media ROI, and drive incremental sales across major marketplaces worldwide. With a vast network connecting over 900 retailers, our comprehensive platform assists more than 2,200 of the world’s leading brands in optimizing marketing, supply chain, and sales operations to profitably expand market share in over 50 countries. Ten of the top twelve CPG brands collaborate with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. We have secured over $200 million from leading investors such as SoftBank, Insight Partners, and Madrona. Discover more at commerceiq.ai.

Join Western Digital as a Senior Scientist in Data Science, where you will lead pioneering research and development projects in the realms of Generative AI, interpretable machine learning, and statistical analysis. You will work alongside a talented team of data scientists and engineers to innovate and apply advanced algorithms to solve complex problems.

We are seeking an accomplished Lead Data Scientist with a strong focus on solution development and algorithm creation in machine learning. Proficiency in Python and SQL is essential for this role.Key Responsibilities:Conduct thorough analyses on extensive datasets, including both first-party and third-party customer information, to deliver high-quality and statistically significant insights.Lead, manage, mentor, and train a team of 2 to 5 Data Scientists, including both junior and senior levels.Oversee the complete implementation of marketing machine learning models, such as customer segmentation, propensity modeling, and customer lifetime value (CLTV) analysis.Demonstrate expertise in large-scale distributed databases and computing systems (e.g., Hadoop, DataBricks).Utilize advanced programming skills in Python/Pyspark.Possess a solid background in SQL, with experience being a significant advantage.Exhibit hands-on experience with machine learning and statistical techniques, including logistic regression, decision trees, random forests, and K-means clustering.Experience with marketing machine learning models will be considered a plus.Deep knowledge of machine learning frameworks, particularly Spark and MLlib, is highly desirable.