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Experience Level
Entry Level
Qualifications
Strong background in statistics, mathematics, or a related field. Proficient in programming languages such as Python or R. Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn). Ability to communicate complex data insights to non-technical stakeholders. Passion for data and a drive to solve real-world problems.
About the job
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.
About Grab
Grab is a leading technology company in Southeast Asia that provides a range of on-demand services including ride-hailing, food delivery, and digital payments. We are committed to driving innovation and creating solutions that enhance the daily lives of our users.
WNS Global Services is looking for a Data Scientist in Bangalore with strong skills in Python, PySpark, and Databricks. This position focuses on analyzing large and complex data sets, building predictive models, and improving data pipelines within an Azure cloud environment. What you will do Analyze diverse and complex data sets to extract actionable insight…
Roles and Responsibilities• Design and execute machine learning models that assess the value of digital content.• Work collaboratively with a diverse team to create innovative solutions addressing intricate challenges in the AI economics field.• Utilize data-driven insights to formulate strategies that will influence our product development.• Ensure the quality and reliability of information by identifying and addressing issues such as content authenticity and plagiarism.
About GracenoteGracenote, a Nielsen company, is committed to bridging the gap between audiences and the entertainment they cherish, shaping a brighter media future for everyone. As the content data division of Nielsen, Gracenote enhances innovative entertainment experiences for preeminent media entities globally. Our entertainment metadata and connected IDs facilitate advanced content navigation and discovery, enabling consumers to connect with the content they adore. Gracenote's premier datasets span TV shows, movies, sports, music, and podcasts across 80 countries and 35 languages. We provide universally adopted identifiers that empower the world's leading media companies, fostering powerful cross-media entertainment experiences. Our machine-driven, human-validated data and images propel new search and discovery experiences on every screen.Role OverviewAs a Principal Data Scientist, you will take on the role of the primary technical architect for our AI/ML ecosystem. Your responsibilities will include shaping the long-term technical vision for media understanding and generation, transitioning from tactical project delivery to constructing the foundational frameworks that will fuel our next generation of products. This position requires a unique combination of scientific leadership, technical expertise, and the capability to influence cross-functional teams and executive stakeholders without formal authority. You will mitigate risks associated with new initiatives through prototyping, lead the design of multimodal data foundations, and ensure our systems can scale to meet the global media catalog's demands.Key ResponsibilitiesScientific and Strategic Leadership: Define the technical vision for AI/ML across the content product ecosystem. Identify high-impact opportunities for Generative AI, agentic solutions, and computer vision to revolutionize content promotion, distribution, and metadata extraction.System Architecture Design: Construct intricate, multimodal machine learning systems that amalgamate visual, audio, and textual data. Create end-to-end ML data foundations for efficient, reliable data annotation, processing, and storage at a petabyte scale.Technical Excellence and Innovation: Spearhead the design of horizontal foundational capability layers (“shared paved paths”) that scale across various use cases, replacing isolated builds with integrated platforms. Assess and incorporate cutting-edge research in diffusion models, vision transformers, and multi-agent architectures.Inference Optimization and Scalability: Supervise the development of high-performance inference systems, employing GPU acceleration and optimization techniques (quantization, pruning, TensorRT) to attain optimal accuracy-latency trade-offs for real-time and batch workloads.Evaluation and Observability: Establish rigorous and scalable evaluation frameworks, leveraging A/B testing and advanced metrics to quantify the effectiveness of deployed models.
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 parspec as a Data Scientist and leverage your analytical skills to drive data-driven decision-making within our innovative team. You will work on various projects that require a deep understanding of data analysis, machine learning, and statistical modeling. Collaborate with cross-functional teams to transform complex data into actionable insights that enhance our products and services.
Lead Principal Data ScientistJoin our dynamic team at Brillio, where we harness the power of data to drive innovation in AI and Data Engineering. As a Lead Principal Data Scientist, you will spearhead significant projects, utilizing advanced analytical techniques to extract valuable insights and guide strategic decisions. Your expertise will influence the development of cutting-edge data solutions, making a profound impact on our clients’ success.
Join Our Team as a Senior Databricks Data Engineer!We are looking for a talented Senior Data Engineer to enhance our data processing capabilities using Databricks. In this role, you will collaborate with cross-functional teams to design and implement robust data solutions that drive business insights and support our AI initiatives. If you are passionate about data engineering and eager to work in an innovative environment, we would love to hear from you!
Principal Data ScientistJoin our dynamic team at Brillio in Bangalore, where we are looking for a Principal Data Scientist to lead innovative AI and data engineering initiatives. In this role, you will harness your expertise in data science to drive impactful solutions and guide a team towards excellence in data-driven decision-making. Your insights will be pivotal in shaping our data strategies and enhancing our product offerings.As a Principal Data Scientist, you will collaborate closely with cross-functional teams to develop and implement machine learning models, analyze large datasets, and extract actionable insights. You will be responsible for mentoring junior data scientists and contributing to the overall growth of the data engineering department.
Join Brillio as a Data Scientist!Are you passionate about leveraging data to drive business decisions? At Brillio, we are seeking a talented Data Scientist to join our dynamic AI & Data Engineering team in Bangalore, Karnataka. In this role, you will utilize advanced analytics and machine learning techniques to extract insights from complex datasets, enabling our clients to make informed choices and improve their operational efficiency.
Join Our Team as a Principal Data ScientistAre you passionate about leveraging data to drive business insights? At Brillio, we are looking for a Principal Data Scientist who will take the lead in developing innovative solutions using advanced data science techniques. You will work closely with cross-functional teams to harness the power of AI and data engineering, ensuring that our strategies are data-driven and effective. If you're ready to make an impact, we want to hear from you!
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.
For over two decades, Smartsheet has been at the forefront of helping individuals and teams achieve remarkable outcomes. From streamlined work management to innovative, scalable solutions, we prioritize collaboration and efficiency. Our mission is to develop tools that empower teams to automate repetitive tasks, derive actionable insights, and scale operations intelligently. More than just technology, we cultivate an environment that encourages ambitious thinking, decisive action, and impactful work. At Smartsheet, we believe that when purpose meets passion, extraordinary things happen, and we strive to create that magic every day.About the Role:Smartsheet is on the lookout for a Data Scientist II to join our dynamic Business Intelligence team. In this role, you will play a vital part in driving data analyses, creating predictive and prescriptive models, and influencing strategic decisions. With a vast user base and numerous subscribing organizations, you will have ample opportunity to make a significant impact and contribute to our growth through data analytics. We seek a curious individual with robust data science and machine learning capabilities, coupled with the ability to effectively communicate insights. You will collaborate closely with our Marketing and Engineering teams to leverage data for strategic initiatives.Your Responsibilities Include:Collaborating with Product, Marketing, and Engineering teams to understand their objectives and uncover insights that drive measurable results.Designing and implementing advanced predictive and prescriptive models using machine learning algorithms to inform marketing and product strategies.Analyzing customer needs and developing metrics to evaluate product usage, optimizing features accordingly.Conducting experiments, causal studies, and A/B tests to assess marketing and product impact.Utilizing data to evaluate product performance and identify enhancement opportunities.Managing the entire analytics lifecycle, from defining business objectives to delivering automated reporting and visualizations.Presenting analyses to stakeholders and providing data-driven recommendations to foster informed decision-making in product ideation and feature launches.Strategically considering how to scale your work for broader impact.Identifying opportunities for further investigation and insight generation.Promoting a data-centric culture within the Product, Marketing, and Engineering teams.
About Our TeamWelcome to the Data Science team at Meesho, where we tackle the toughest challenges head-on, much like the Avengers of the digital world! We thrive on creating intelligent systems tailored for millions of users across various product categories. Our adventure is just beginning, and we are excited to shape the future of commerce in Bharat.Our daily endeavors involve critical tasks such as fraud detection, inventory optimization, and enhancing our platform's vernacularization.As a Senior Data Scientist, you will embark on a journey through uncharted territories, discovering innovative solutions that enrich the user experience. You will confront intriguing challenges and tackle unique customer problems in an emerging market.But that's not all! We believe in maintaining a balanced personal and professional life. When we’re not immersed in data, you might catch us singing “Summer of 69” at a karaoke bar or debating the best Spider-Man actor: Maguire, Garfield, or Holland? Join the conversation! About the RoleIf you are passionate about data and enjoy discussing solutions rather than problems, we want you on our team!Your main responsibility will be to enhance data productivity and utilization. You will collaborate closely with business stakeholders to transform fragmented information into valuable insights, sharing and presenting your findings with peers.
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.
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!
About Our TeamOur Data Science team at Meesho acts as the backbone of innovation, stepping in during challenging times to engineer creative solutions that enhance the experience of millions of users across diverse product categories. We are just beginning to explore the immense potential in redefining the future of commerce in Bharat.Daily, we tackle critical issues such as fraud detection, inventory management, and platform optimization, ensuring our systems are robust and reliable.Role OverviewAs a Lead Data Scientist within our AdTech division, you will spearhead advancements in our advertising platform by leveraging sophisticated machine learning techniques and statistical analysis. Your role will involve addressing intricate challenges in real-time bidding, optimizing ad rankings, enhancing budget efficiency, and measuring performance—all of which are pivotal to our business's success. This position demands a blend of technical prowess and strategic insight, as you will collaborate with cross-functional teams to convert data-driven insights into impactful strategies that bolster our advertising ecosystem.
Netradyne leverages cutting-edge Computer Vision and Edge Computing technologies to transform the contemporary transportation landscape. As a frontrunner in fleet safety solutions, our rapid growth, exceeding four times year-over-year, has positioned our innovations as pivotal disruptive technologies. We are expanding our team and seek visionary, competitive individuals who are committed to driving our success.Job Overview:Our team is dedicated to ensuring that AI systems deployed on a large scale are measurable, reliable, and ready for decision-making. We create robust evaluation frameworks, analytics platforms, and KPI audits that significantly influence product direction and real-world safety results. In the role of Staff Data Scientist, you will lead the definition, implementation, and enhancement of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real-world applications. This position focuses on measurement precision, error analysis, experimentation, and decision support—ensuring metrics accurately represent system performance, business impact, and safety outcomes.Key Responsibilities:Evaluation & Measurement OwnershipDesign, implement, and maintain both offline and online evaluation frameworks for AI/ML features.Define, validate, and refine KPIs, success metrics, and audit methodologies utilized across various teams.Conduct comprehensive error analysis, bias examination, and segmentation to uncover failure modes and areas for improvement.Manage golden datasets, validation protocols, and benchmarking standards.Analytics & Insight GenerationPerform extensive analytical studies to assess feature performance, data quality challenges, and system behavior.Translate complex analytical results into clear, actionable insights for engineering, product, and leadership stakeholders.Critique existing metrics or evaluation methodologies when they fail to reflect actual conditions.Experimentation & Statistical RigorDesign and review experiments including offline evaluations, controlled rollouts, and A/B testing.Ensure statistical accuracy in analysis, including bias, variance, confidence intervals, and significance.
Grab Holdings Inc. is hiring a Senior Data Scientist to focus on Large Language Model (LLM) post-training in Bangalore. Role overview This role centers on improving data-driven solutions by applying advanced knowledge of LLM post-training. The Senior Data Scientist will play a key part in shaping AI applications and refining current services. What you will do Apply expertise in LLM post-training to enhance the company’s data-driven products and solutions. Collaborate with cross-functional teams to develop new AI applications and optimize existing offerings. Analyze complex data sets and deliver insights that help create better customer experiences. Location This position is based in Bangalore.
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.
Zimperium® stands at the forefront of mobile security, dedicated to safeguarding the modern mobile enterprise. Our AI-powered platform offers real-time, on-device protection for mobile applications and devices, earning the trust of leading organizations and governments worldwide. We enable organizations to proactively defend against evolving threats, including mobile-targeted phishing (mishing), malware, application vulnerabilities, and zero-day exploits. Our mission is to empower organizations to navigate the dynamic digital landscape securely and with confidence.As the first and only company to deliver a comprehensive mobile threat defense system, Zimperium offers world-class protection against both known and unknown advanced mobile cyberattacks and malware.Utilizing our award-winning, machine learning-based engine, we protect against device, network, phishing, and application attacks across iOS, Android, and Windows devices, all while maintaining user privacy with a non-intrusive approach.In response to our rapid growth, we are seeking a Senior Python Engineer to join our team. You will play a pivotal role in establishing a robust engineering discipline, integrating software and systems to develop innovative solutions for both development and operational challenges.Location: Bangalore, India (Hybrid)Your role will involve building infrastructure, streamlining processes, and enhancing workflows through automation. You will collaborate with a team of inquisitive problem solvers, each bringing diverse perspectives, to tackle significant challenges. In this supportive environment, you will lead impactful projects while receiving mentorship to foster your professional growth.
