Top Data Science Jobs in Chennai, TN
Join Caterpillar Inc. as a Data Scientist working on complex problems and providing data solutions aligned with overall objectives. Lead data management, analysis, and insights to support aftermarket growth commitments. Collaborate with various teams to drive data quality and integrity for better customer service and achieving growth targets.
As a Staff Data Scientist at Udemy, you will work with the Globalization pod to drive data-informed decisions about international business goals, prioritize initiatives, build metrics & dashboards, and conduct ad hoc analyses for the team. You will collaborate with PMs, engineers, and marketing teams to understand user behaviors, key customer journeys, and identify opportunities for product improvements based on data patterns.
Senior Associate, Principal Statistical Data Scientist responsible for statistical programming deliverables in the pharmaceutical industry. Mentor junior team members, handle complex programming tasks, adhere to high-quality standards, and collaborate with global stakeholders. Bachelor's or Master's degree in relevant field with 5-6 years of experience required.
Join Oportun's world-class team of Data Scientists to develop and enhance scoring risk for underbanked consumers using machine learning and statistical modeling. Responsibilities include developing data products, building monitoring tools, and leading initiatives to drive business value. Qualifications include a Master's degree or PhD in a quantitative discipline and hands-on experience with machine learning techniques.
Lead a team of data engineering and data analysts to deliver AI/ML and Generative AI solutions within the Digital Manufacturing Organization. Implement data management policies, ensure data quality, support data users, troubleshoot data-related problems.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
Work as a Data Engineer for the Data Engineering team at CrowdStrike, designing and building services for machine learning products, building automation tools, maintaining data systems, and collaborating with different teams to contribute to machine learning data.
Seeking a dynamic Recruiter with 4+ years of experience in in-house or consulting recruitment supporting diverse business needs. Responsibilities include talent acquisition, candidate relationship management, collaboration with hiring managers, job posting, interviewing and evaluation, and data management. Must have experience in Europe/UK hiring and strong communication skills.
Featured Jobs
Develop and enhance data products and machine learning models for risk, fraud, collections, and portfolio management. Utilize alternative data sets to build scores and strategies for managing risk and fraud. Optimize marketing spend by predicting consumer interest in credit products.
As a Senior Staff Data Scientist on the Globalization team at Udemy, you will build scalable search algorithms fueled by machine learning, natural language processing, and data-driven processes. You will lead the technical vision of the team, collaborate with other Data Scientists and engineers, and drive the technical strategy for ML-powered data products.
As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. Responsibilities include leading and managing large teams of developers, collaborating with clients, maintaining quality datasets, overseeing project transitions, and enhancing code quality. Qualifications include experience in managing technical teams, proficiency in Python and/or JavaScript, hands-on technical work, strong leadership and communication skills.
As a Lead Data Scientist at Netomi, you will be responsible for driving NLP and machine learning projects, managing a team of data scientists, and developing solutions to support technical and analytical requirements. You will also perform deep analyses, build models to understand customer behavior, and extract key insights for product decisions.
Join the Data & Analytics team as a Principal Data Warehouse & Data Analytics Engineer. Collaborate on building scalable data pipelines in Snowflake and Oracle environments. Use your expertise in Snow SQL, PL/SQL, and Python to empower data-driven decision-making across the organization. Lead project tasks using agile methodology and resolve technical issues effectively.
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Lead a team of analysts using data to ensure trusted and legal communications at Twilio. Develop machine learning models to detect fraud in real-time, collaborate with key stakeholders, and provide thought leadership in trust and safety initiatives.
Lead Data Scientist role at Encora, leading the development and implementation of advanced data science models and algorithms. Mentoring junior data scientists, collaborating with cross-functional teams, and driving innovation in data analytics.
Lead Data Scientist specializing in Natural Language Processing (NLP) to drive innovative projects in name matching, address matching, and entity resolution. Responsible for designing, developing, and deploying advanced NLP models to enhance identity verification processes. Collaborate with cross-functional teams, mentor junior data scientists, analyze data sets, and ensure scalable and secure NLP solutions.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
As a Data Scientist at PayPal, you will lead data science projects to optimize transaction success rates and enhance authorization rates for PayPal's checkout products.
Provide support for data collection, analysis, and insights dissemination. Automate data source collection, preprocess data, analyze trends, build predictive models and machine learning algorithms, present data accurately, and provide suggestions to clients. Work closely with clients to understand business needs and KPIs.
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.
Explore areas to apply machine learning technology, develop measures on collecting and managing data, and optimize data analysis software. Develop data pre-processing, feature extraction, and modeling algorithms. Evaluate performance and manage large-scale computing resources for deep learning and massive data.
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.
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.
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.
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