Top Data Scientist Jobs in Delhi
Partner with teams to identify key metrics and trends, analyze large data sets, diagnose operational breakdowns, support data management and reporting, handle ad hoc requests.
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.
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.
Looking for a Data Scientist to build predictability around business performance, support product initiatives, provide insights, and work closely with analysts and business community. Responsibilities include owning Marketing data projects, developing experimentation frameworks, automating dashboards, analyzing data sets, conducting research, and collaborating with 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.
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.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Develop deep learning models for computer vision tasks on geospatial imagery using Python and PyTorch. Integrate ArcGIS with deep learning libraries and develop APIs and tools for geospatial AI. Curate and preprocess data for deep learning models and perform comparative studies of model architectures.
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.
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.
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.
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 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.
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'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.
Data Engineers design, build, manage, and operationalize data pipelines to support key data and analytics use cases. They ensure data governance, privacy, and security compliance and optimize the Enterprise Data Warehouse architecture.
Join the Search and BuyBox algorithm team at Walmart, working on pioneering solutions in e-commerce by developing advanced algorithms in machine learning, information retrieval, natural language processing, and computer vision to optimize user experience, offer ranking, and product relevancy.
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.
Looking for a Senior Data Engineer to join the Data Engineering team at CrowdStrike, responsible for building pipelines, infrastructure, and automation for data scientists. Requires strong programming skills in Golang, experience with large data volumes, distributed system design, CI/CD best practices, and Docker/Kubernetes development.
Design and implement data science models, collaborate with stakeholders, build predictive models, and influence business decisions with data analysis.
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Conduct analysis and deep dives on ambiguous problems, act as owner for a broad scope of data and metrics, guide code reviews, provide SQL and Python expertise, and maintain a high bar for statistical rigor on the team.
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.
Seeking a Senior Data Scientist with 7-9 years of experience to develop cutting-edge ML solutions for pricing and recommendations. Must have expertise in Python, SQL, ML techniques, and industry-standard recommender systems and pricing models.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.
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