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 Staff, Data Scientist at People.AI is responsible for identifying data sources, developing data strategies, assessing and validating models, visualizing data, understanding business context, and solving complex business issues through data-driven insights.
Seeking a talented Data Scientist to design and implement predictive models, analyze complex datasets, and improve business processes through data insights. Responsibilities include statistical analyses, running SQL queries, and maintaining data infrastructure. Must have expertise in data science programming languages, statistical models, and machine learning algorithms.
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.
Aryng is seeking a seasoned data scientist analyst with 80% analytics and 20% data science work, along with client account management. The role requires strong decision science skills, communication, stakeholder management, and statistical knowledge.
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.
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.
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.
Featured Jobs
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.
Join Atlassian as a Data Engineer in a world-class team to influence product and business decisions, work on data strategy and insights, and ensure data quality and governance. Requires 2+ years of experience in Data Engineering, expertise in Python and SQL, and knowledge of ETL and data modeling.
Experience in data modeling tool CA Erwin, SQL Scripting, communication skills, understanding and analyzing business requirements to provide optimal solutions.
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.
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.
Lead the design and implementation of sophisticated models using Machine Learning and Deep Learning techniques, oversee the delivery of data science projects, mentor and develop team members, collaborate with stakeholders to drive business solutions, proficient in Python and knowledgeable in BI, Snowflake, and Snowpark.
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.
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.
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.
Develop and implement data-driven methods to measure and monitor credit risk, utilize advanced statistical and machine learning methods, collaborate with stakeholders, and drive innovation in risk decision making.
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.
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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.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
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