Top Data Science Jobs in Bengaluru, KA
Staff Data Scientist role at Walmart Global Tech focusing on building a world-class search system using machine learning and data mining algorithms to analyze Walmart's data and provide relevant search results for customers. Responsibilities include developing ML solutions, collaborating with cross-functional teams, presenting recommendations, and integrating data science solutions into business processes.
Join Target as a Principal Data Scientist responsible for creating personalized offers for guests by designing, implementing, and optimizing scalable machine learning solutions. Mentor team members, drive new standards, and collaborate with cross-functional teams.
Work as an Associate Lead Data Scientist at Sigmoid Analytics in Bengaluru. Engage with clients in various industries to solve complex business problems using data science and machine learning. Develop predictive models, lead data science projects, manage technical teams, and drive business results through data-based insights.
The Data Scientist turns data into actionable insights using tools and models from statistics, AI, and Machine Learning to enable better decision making. They collaborate with stakeholders to translate a business problem to a mathematical problem that can be solved using data and analytics. Responsibilities include forecasting, causal inference, machine learning approaches, and communication of results to business stakeholders.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Design, develop, and execute analytical algorithms to address business problems in the broadcast industry. Interpret results, share insights, and deploy solutions to optimize business operations. Train stakeholders and provide ongoing support. Stay updated with the latest data science tools and mentor junior team members.
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Seeking talented Data Scientists to work on NLP projects and advanced AI methodologies at a global leader in governance. Responsibilities include designing ML models, collaborating with teams, developing NLP solutions, and staying updated on AI advancements.
Looking for a passionate individual to join the Data Science team in Cigna International Health Data & Analytics. Responsibilities include developing and implementing data analytics products to create value for the business. Requirements include knowledge in data analytics, Python, SQL, NoSQL, and experience in Cloud computing.
Featured Jobs
Senior Data Scientist role at Sigmoid Analytics in Bengaluru. Work on cutting-edge data science and machine learning problems across industries. Engage with clients to understand business context and solve complex problems using data science and machine learning.
The Staff Data Scientist at Trellix will work on critical cybersecurity problems using machine learning, focusing on areas like Malware detection, Malicious URL classification, and Threat Hunting. Responsibilities include full-lifecycle full-stack Machine Learning product development, mentoring junior data scientists, and owning end-to-end projects. The role requires expertise in ML algorithms, problem formulation, feature engineering, model training, deployment, and familiarity with cloud services and ML automation platforms.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
Lead and mentor a team of data scientists, engage with clients in various industries, develop predictive models using ML algorithms, drive business results with data-based insights, manage end-to-end client AI & analytics programs, and define technology strategies for client accounts.
Develop and maintain scalable data pipelines, collaborate with cross-functional teams, optimize data storage, troubleshoot data issues, and mentor junior team members. Bachelor's degree in Computer Science required, Master's degree preferred.
Senior Data Scientist at Target responsible for developing and managing predictive algorithms using data at scale to automate decisions in supply chain optimization. Collaborate with teams to solve retail challenges and build data science models and tools. Analyze large datasets, develop optimization-based solutions, and deploy modules for simulation testing.
Senior Data Scientist for the Global Merchant Analytics team responsible for generating valuable insights from data through deep dive analysis and supporting new product launches by establishing test and control plans.
Data Scientist II role in Product Risk Operations team at Urbint, responsible for developing AI-powered technology to enhance safety and resilience in communities. Activities include ML deployments, product feature development, model implementation, and stakeholder communication. Requires 3-5 years of experience, Master's or PhD in quantitative field, strong problem-solving skills, proficiency in Python and R, experience with SQL and various ML techniques.
Join Oportun as a Senior Data Scientist to develop data products and machine learning models for risk, fraud, collections, and portfolio management. Use alternative data sets to build scores and strategies, optimize marketing spend, and drive business value. Lead initiatives and facilitate Model Governance Activities. Must have a Master's degree or PhD in a quantitative discipline and 3+ years of hands-on experience with machine learning techniques.
Seeking a Data Scientist with 2+ years of experience to support product, leadership, and marketing teams with data insights. Responsibilities include defining data science solutions, data processing, model creation and validation, and enhancing data collection procedures. Proficiency in Python, R, SQL, AzureML, AWS Sagemaker, and NoSQL databases is required.
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As a Data Scientist at Equifax, you will manipulate large datasets, integrate diverse data sources, and develop analytical approaches to meet business requirements. Responsibilities include executing code to generate business results, analyzing and preparing data for analysis, researching predictive modeling techniques, and working with cross-functional teams to develop solutions.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Seeking an experienced and energetic Principal Data Scientist to join our Data Science Team. Responsible for tackling difficult problems and distilling large volumes of data into actionable knowledge. Collaborate with cross-functional teams to improve decision-making with data and build a culture of data-driven decision-making. Design and build ML algorithms for text and image processing, conduct exploratory analysis, and produce work that aids the executive team's decision-making process.
As a Data Scientist at Kyndryl, you will be responsible for bridging business problems with innovative solutions using a blend of methodologies, statistics, mathematics, domain expertise, and software engineering. You will collect and explore data, build and validate models, deploy them as code, and ensure data security and accuracy. This role requires a growth mindset, customer focus, and inclusivity in working with others.
Seeking a Data Scientist to support pricing and business teams with insights and real-time price recommendations using large and limited data sets. Responsibilities include analyzing data, creating models, improving accuracy, and collaborating with stakeholders. Requires a Bachelor's degree and 8+ years of experience in Data Science.
Design, build, test, and deploy cutting-edge data solutions at scale, focusing on Spark and Big Data technologies. Collaborate with cross-functional teams to drive product features and optimize data pipelines. Engage in research and experimentation to identify best practices and tools for data analysis and processing.
Seeking a highly motivated Data Analytics Engineer to build and implement data analytics solutions using leading BI platforms. Responsibilities include working with clients to enable them on BI platforms, designing dashboards, writing efficient code, and staying up to date with industry trends. Qualifications include 5+ years of experience, strong problem-solving skills, and a Bachelor's or Master's degree in Computer Science or related field.
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