Top Data Scientist Jobs in Pune, MH
Manager, Data Science role at TransUnion SSPL India, leading global information and insights company. Responsibilities include model development on tabular data, working with credit and public record data, and collaborating with cross-border data scientists.
Support the development of credit risk management and business intelligence analytic solutions through consulting engagements and research for TransUnion's clients. Responsible for partnering with Marketing Analytics team, analyzing large datasets, delivering analytic insights, and fostering a high-performance culture.
The Data Science & Analytics Engagement Lead is responsible for driving the adoption and value of data and analytic solutions, initiating new solutions based on business needs, and prototyping ad-hoc analysis. They collaborate with business units to align data and analytics strategies with business goals, evangelize AI product adoption, and mentor junior data scientists. Key responsibilities include developing statistical models, analyzing large datasets, conducting predictive analytics, and integrating data science solutions with existing systems.
Sr. Analyst, Data Science and Analytics with 3+ years of experience in Sql, R, Spark, Hive, Tableau. Hybrid position involving both virtual and in-person work at TU office location.
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.
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.
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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.
Lead a team of data scientists to leverage advanced analytics, machine learning, and generative AI techniques to extract insights from complex datasets. Translate insights into actionable strategies to optimize drug discovery, clinical development, and commercial delivery. Collaborate with cross-functional teams and communicate insights effectively to technical and non-technical audiences.
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.
As a Data Scientist at Redaptive, you will apply machine learning and data science to help customers lower carbon emissions. Responsibilities include deploying machine learning projects, supporting internal teams, data pipeline implementation, and communicating findings. Required proficiency in Python, databases, predictive modeling, and production deployment. Bachelor's degree in quantitative field and 3+ years of data science experience.
Data Scientists at Coupa support internal teams by creating and automating machine-language-driven solutions to complex problems, improving machine-language-based product features to impact Coupa customers.
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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 projects in Data Science, collaborate with teams, design and maintain Data Science systems, build new models, analyze data, provide support, test new features, mentor team members.
The Data Engineer II at Cencora is responsible for extracting and analyzing data to support Legal and Compliance departments. They play a key role in designing analytics models, ensuring data integrity, and facilitating a seamless user experience.
Lead Data Science Engineer responsible for managing AI models, data analysis, data pipelines, and architecture design. Collaborate with cross-functional teams and present solutions to executives. Requires 5+ years of experience in Data Science, expertise in Python and Azure data platform.
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.
Lead Data Scientist responsible for prototyping, designing, developing, and supporting a highly scalable SaaS based Security Analytics product. Must have strong experience in data mining/data analysis methods, building and implementing models, and creating/running simulations. Required to work with DS team, product managers, and stakeholders to define problems, conduct literature surveys, build prototypes, lead data creation/collection, and more. Also responsible for mentoring junior team members and reviewing code and data.
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.
Seeking a passionate and experienced Specialist Data Scientist to lead and mentor the growing data science team. Develop and implement innovative machine learning models addressing financial crime, risk, and compliance.
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.
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.
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