Senior Data Science Lead - R01560073

Join Our Team as a Senior Data Science LeadAre you ready to take on a leadership role in the dynamic field of data science? At Brillio, we are seeking an experienced Senior Data Science Lead to join our innovative team in Bangalore, Karnataka. In this pivotal position, you will steer data-driven projects, mentor junior data scientists, and collaborate with cross-functional teams to deliver impactful solutions. If you are passionate about leveraging data to drive business outcomes and have a proven track record in data science, we want to hear from you!

Senior Data Science LeadAre you an expert in data science with a passion for leading innovative projects? Join brillio as a Senior Data Science Lead in Bangalore, Karnataka. In this pivotal role, you will guide a talented team of data scientists and engineers, driving the development of cutting-edge AI solutions. Your leadership will shape our approach to complex data challenges, ensuring the delivery of impactful insights and analytics to our clients. If you're ready to make a significant impact in the field of data science, we want to hear from you!

InMobi Advertising is a pioneering global technology leader dedicated to empowering marketers in critical moments. Our advanced advertising platform connects with over 2 billion individuals across more than 150 countries, transforming real-time context into impactful business outcomes, all while upholding privacy-first principles. Trusted by over 30,000 brands and leading publishers, InMobi is the nexus where intelligence, creativity, and accountability intersect. By integrating lock screens, apps, TVs, and the open web with AI and machine learning, we deliver heightened attention, precise personalization, and measurable results.Through Glance AI, we are redefining AI Commerce, envisioning the future of e-commerce through inspiration-led discovery and shopping experiences. Seamlessly embedded in everyday consumer technology, Glance AI turns every screen into a portal for immediate, personalized, and delightful discovery. Covering a wide array of categories including fashion, beauty, travel, accessories, home décor, pets, and more, Glance AI offers deeply customized shopping experiences. Utilizing rich first-party data and unmatched consumer access, it leverages InMobi’s global reach, insights, and targeting prowess to craft high-impact, performance-driven shopping journeys for brands worldwide.Recognized as a Great Place to Work and celebrated by MIT Technology Review, Fast Company’s Top 10 Innovators, and others, InMobi is a workplace where daring ideas create a global impact. Supported by investors such as SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi operates from locations including San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond.At InMobi Advertising, you will have the opportunity to influence how billions of users engage with content, commerce, and brands on a global scale. To explore more, visit www.inmobi.comWhy should you join us?At the heart of our mission lies the conviction that data has the power to inform smarter decisions and revolutionize operations. As a Senior Manager in Operational Data Sciences, you will spearhead initiatives that enhance operational efficiencies, expedite analytical insights, and align analytics with strategic objectives.

Director, Data Science & AIJoin Brillio in Bangalore as a Lead/Sr. Lead in Data Science & AI. We are seeking a visionary leader to drive our AI initiatives and data engineering projects, collaborating with cross-functional teams to deliver innovative solutions. This role necessitates a blend of technical expertise and strategic thinking to guide our data science efforts and enhance business outcomes.

Join Brillio as a Lead Data ScientistAs a pivotal member of our AI & Data Engineering department, you will spearhead innovative data science projects that drive business value and operational excellence. Your leadership will guide a talented team of data scientists and analysts in harnessing advanced analytics and machine learning techniques to solve complex problems. This is an exciting opportunity for a strategic thinker with a passion for data to make a significant impact in a dynamic environment.

Join Our Dynamic Team as a Lead Data AnalystAt Brillio, we are looking for an experienced Lead Data Analyst to drive analytical excellence across our projects. You will leverage data to influence strategic decisions and contribute to innovative solutions that propel our clients forward. Collaborate with cross-functional teams, utilizing advanced statistical techniques and data visualization tools to provide actionable insights. If you are passionate about data and eager to make a significant impact, we invite you to apply!

Join our team as a Senior Lead Data Engineer!As a Senior Lead Data Engineer at Brillio, you will play a pivotal role in designing and implementing data solutions on AWS. You will lead a talented team in the AI & Data Engineering department, driving innovation and ensuring optimal data architecture. Your expertise in data engineering and cloud technologies will be crucial in delivering high-quality data solutions that empower our clients.

Senior Data Scientist - Join our dynamic team at Brillio as a Senior Data Scientist in Bangalore, Karnataka, India. You will leverage your expertise in data analysis and machine learning to drive impactful solutions for our clients. Collaborate with cross-functional teams to extract insights from complex datasets and enhance business strategies. If you are passionate about data and eager to make a difference, we want to hear from you!

Job OverviewThe Director of AI/ML & Data Science at Gracenote India will play a pivotal role in spearheading the success of our data science teams across various regions. This leadership position is essential for the growth and advancement of the Gracenote AI & Data Science organization. The primary objectives include establishing technical excellence, cultivating a collaborative culture, and driving operational effectiveness to achieve business goals. You will lead initiatives in artificial intelligence, core data science, natural language processing, computer vision, and MLOps.Key Responsibilities● Oversee multiple teams of data scientists and analytics engineers with both direct and indirect managerial roles.● Collaborate with local and global management and relevant organizational partners to ensure the productivity and success of assigned teams.● Foster a culture rooted in Nielsen values, promoting collaboration, innovation, and continuous learning.● Develop an operational rhythm to ensure clear communication and inclusivity, creating an environment that encourages high associate retention.● Monitor key performance indicators (KPIs) like productivity and employee retention.● Maintain a robust talent pipeline, connecting with universities and facilitating internships and onboarding programs.● Assess and refine business processes on an ongoing basis.● Embrace automation to enhance efficiency in recurring analyses and simulations.● Manage the deployment and upkeep of machine learning models, AI, and LLM-based solutions in production settings.● Implement strict quality assurance measures to uphold the integrity and accuracy of audience measurement data.● Adhere to the tools of the Product Development Lifecycle.● Lead research initiatives to enhance statistical sampling methodologies and improve panel and survey research.● Evolve analytics to integrate predictive and prescriptive analytics into Nielsen’s operations.● Identify and implement market research methodologies suitable for media measurement.● Represent the Global Data Solutions Data Science and Analytics team in cross-functional collaborations.● Stay current with emerging trends, technologies, and best practices in data science and media analytics, contributing to thought leadership and industry discussions.● Drive initiatives in core data science including statistical modeling, machine learning, data mining, and experimentation.

Role overview Grab seeks a Senior Data Scientist in Bangalore to guide data-driven decisions across the organization. This position centers on using advanced statistical methods and machine learning to explore large, complex datasets. The main objective is to uncover insights that can enhance Grab’s products and services. Key responsibilities Analyze complex data sets with statistical and machine learning techniques Develop predictive models that align with business objectives Collaborate with teams throughout the company to identify optimization opportunities and generate new ideas Convert data analysis into clear, practical recommendations Collaboration This role works closely with cross-functional teams, helping to identify areas for improvement and support innovation across Grab’s services.

Join Our Team as a Senior Lead Data EngineerAre you an innovative and experienced Data Engineer ready to take the lead in transforming data into actionable insights? At Brillio, we are looking for a Senior Lead Data Engineer who is passionate about leveraging advanced data engineering techniques to drive our AI and data initiatives forward.In this role, you will oversee data architecture, design, and development, ensuring that our data solutions meet business needs while optimizing performance and reliability. Your expertise will guide the team in building robust data pipelines and implementing best practices in data management and governance.

The Director of AI & Data Science at Gracenote-India plays a pivotal role in driving the success of data science teams across various regions. This position is essential for the growth and advancement of the Gracenote AI & Data Science organization, aiming to establish a robust technical framework, culture, and operational cadence. Responsibilities include achieving business outcomes for Gracenote while collaborating with local and global stakeholders on critical deliverables. The role encompasses leading initiatives across AI, foundational data science, natural language processing (NLP), computer vision, and machine learning operations (MLOps).Key ResponsibilitiesOversee multiple teams of Gracenote data science and analytics engineers, managing both direct and indirect reports.Collaborate with local and global management and relevant organizational partners to ensure team success and productivity.Foster a culture aligned with Nielsen values, emphasizing collaboration, innovation, and continual learning.Implement operating rhythms to ensure effective communication and inclusivity, cultivating a positive work environment.Monitor key performance indicators (KPIs) such as productivity and employee retention.Maintain a talent pipeline through partnerships with universities and support for internships and onboarding programs.Continuously evaluate and enhance business processes.Adopt an automation mindset to streamline processes for recurring analyses and simulations.Oversee the deployment and maintenance of machine learning models, AI solutions, and data pipelines in a production setting.Establish and enforce stringent quality assurance protocols to ensure data integrity.Ensure compliance with tools of the Product Development Lifecycle.Drive research initiatives to refine methodologies for statistical sampling and survey research.Advance analytics to incorporate predictive and prescriptive analytics into Nielsen’s operations.Identify and implement market research methodologies suitable for media measurement.Represent the Global Data Solutions Data Science and Analytics team in cross-functional collaborations.Stay updated on emerging trends and best practices in data science and market research, contributing to thought leadership and industry discussions.Lead initiatives in core data science, including statistical modeling, machine learning, data mining, and experimental design.Develop and apply NLP solutions for text analysis and sentiment evaluation.

About Us Moniepoint Inc. stands as Africa's premier financial ecosystem, offering comprehensive solutions that empower over 10 million businesses and individuals with seamless access to payment frameworks, banking services, credit solutions, and essential business management tools since its inception in 2019. As Nigeria's foremost merchant acquirer, Moniepoint facilitates the majority of the country's Point of Sale (POS) transactions. Our subsidiaries collectively handle a staggering $22 billion in transactions monthly, all while maintaining profitable operations. Role Overview: At Moniepoint, data is integral to our mission. As a Data Engineering Lead, you will be pivotal in enabling our teams to leverage data for informed decision-making that drives our business success. You will engineer scalable, robust data systems that bolster our business intelligence and analytics capabilities. We seek leaders who are not only technically proficient but also passionate about mentoring their teams and exploring innovative data solutions. Curious about our workplace culture? Discover how we foster innovation, teamwork, and personal growth. Key Responsibilities: Design and maintain robust data pipelines to handle large data volumes efficiently. Conduct analyses of extensive data sets utilizing tools such as Python and SQL. Enhance our data platform for improved speed, scalability, and cost-effectiveness. Collaborate with various teams to understand and fulfill their data requirements. Create processes and tools for monitoring and evaluating model performance and data accuracy. Address general data-related challenges. Establish new data pipelines for the complete stream, enrichment, and curation processes. Maintain source code repositories. Explore and implement machine learning and AI to enhance our cloud offerings. Support the development of junior team members. Qualifications for Success: 5-7+ years of proven experience as a Data Engineer, with a strong portfolio of accomplishments. Demonstrated leadership experience. Exceptional problem-solving abilities. Advanced SQL skills. Proficiency in Python. Familiarity with cloud platforms such as Google Cloud, AWS, or Azure. Experience with version control systems like Git. Excellent verbal and written communication skills. A strong desire to learn and grow within the field.

About the TeamJoin Meesho's data science team, where we tackle some of the most complex challenges in the e-commerce landscape, akin to the Avengers assembling to protect our users. Our mission is to innovate and devise intelligent systems that serve millions across diverse product categories. Here at Meesho, we are just beginning to explore the vast potential of commerce in Bharat, and we invite you to be a part of this exciting journey.Our daily endeavors include advanced fraud detection, inventory optimization, and enhancing platform vernacularization.As our Lead Data Scientist, you will venture into uncharted territories, pioneering innovative solutions for our user base. You will engage with unique challenges and directly contribute to addressing customer needs in a rapidly evolving market.But there’s more! We believe in maintaining a balanced professional and personal life. When we’re not immersed in data, you might catch us singing our hearts out to “Summer of 69” at a karaoke bar or debating the merits of various Spider-Man portrayals. Join us in this vibrant culture! About the RoleIf you have a passion for deep data and consider yourself an innovative thinker, you could be the next Lead Data Scientist we’re looking for.In this pivotal role, you will mentor our junior data scientists, guiding them like Dumbledore with his wizards. Your responsibilities will include synthesizing disparate data points into actionable insights that drive our strategic goals. You will extract critical information and facilitate discussions that lead to impactful app innovations.

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will spearhead the design and implementation of data solutions that drive business intelligence and analytics. Your expertise will play a crucial role in optimizing data pipelines and ensuring data integrity across various platforms. Join our innovative team in Bangalore, where you will collaborate with cross-functional teams to leverage data in transformative ways.

Lead Data EngineerAs a Lead Data Engineer at Brillio, you will spearhead our data engineering initiatives, driving the development and implementation of robust data solutions. Your expertise will enhance our capabilities in data analytics and machine learning, ensuring we leverage data as a strategic asset. Collaborating with cross-functional teams, you will design and optimize data pipelines, enabling efficient data management and analysis. This role requires a passion for data and the ability to lead a team towards achieving excellence in data engineering.

For over two decades, Smartsheet has been a catalyst for teams and individuals striving to achieve remarkable outcomes. From streamlined work management to innovative, scalable solutions, we have consistently embraced the flow of work. Our mission is to create tools that empower teams to automate the mundane, extract valuable insights, and scale intelligently. More than just tools, we are fostering environments that encourage big thinking, decisive action, and impactful work. When challenges meet purpose, and passion transforms into progress, that's where the real magic happens, and that's what drives us every day.Smartsheet is on the lookout for a Senior Data Scientist to spearhead initiatives focused on growth and customer retention through Applied AI and advanced analytics. With a vast array of subscribing organizations and millions of users, this role offers a unique opportunity to make a significant impact by utilizing data science to enhance Sales, Customer Success, and Monetization strategies. A curious mindset, robust data science and machine learning expertise, and the ability to effectively communicate insights are essential for this position. You will collaborate primarily with Go-to-Market Teams and be an integral part of Smartsheet's Data Science & Business Intelligence team.

Lead Data EngineerJoin our dynamic team at Brillio as a Lead Data Engineer, where you will take charge of designing and implementing robust data solutions. You will work closely with our AI & Data Engineering departments to drive innovation and efficiency in data processing and analytics. Your expertise will be crucial in guiding our data strategy and ensuring optimal performance of our data infrastructure.

Be Part of the Future of Supply Chain Intelligence — Driven by Agentic AIWe are eager to engage with innovative engineers and product managers who are ready to make a significant impact. If you are passionate about developing cutting-edge products, tackling real-world challenges, and collaborating within a dynamic, high-energy environment, we invite you to connect with us. Even if there are no current openings that align with your skills, consider joining our talent network to stay updated on future opportunities. Be the first to learn when the ideal role becomes available — and take the next step in your professional journey with us. Together, let's create what’s next.Why Choose Resilinc?At Resilinc, we are not just addressing supply chain challenges — we are at the forefront of developing intelligent, autonomous systems that will shape its future. Our advanced Agentic AI enables global enterprises to foresee disruptions, quickly assess impacts, and take timely actions — all before operations are affected. As a recognized leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by prestigious clients across sectors like life sciences, aerospace, high tech, and automotive to safeguard what matters most — from manufacturing floors to patient care.Our strength lies not only in technology but also in the largest supplier-validated data lake in the industry, developed over 15 years and continuously enhanced by our global intelligence network. This is how we provide multi-tier visibility, real-time risk assessment, and adaptable compliance at scale.Yet, the true power of Resilinc comes from our people. We are a fully remote, mission-driven global team united by one goal: ensuring essential products reach those in need — when and where they are required. Whether it’s ensuring timely delivery of cancer treatments or identifying geopolitical risks before they disrupt critical supply chains, you will witness your impact daily. If you are passionate about creating meaningful technology, driven by purpose, and ready to be an agent of change in shaping the next era of self-healing supply chains, we would love to connect with you.Resilinc | Innovation with Purpose. Intelligence with Impact.

Lead Data EngineerJoin our dynamic team at Brillio as a Lead Data Engineer, where you will take charge of designing, developing, documenting, and testing cutting-edge data pipelines. You will work with both structured and unstructured data sources in the Azure cloud environment, leveraging tools such as Azure Synapse and Azure Data Factory to drive impactful data solutions.In this role, you will utilize your expertise to create complex data pipelines, demonstrating your proficiency in Azure Synapse and Azure Data Factory. Your skills in SQL and Python (with a preference for Pyspark) will be essential, and experience with Databricks or Synapse notebooks will be highly valued. You will also engage in source control processes and collaborate effectively with business stakeholders, showcasing your excellent communication skills.