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Top Data Science Jobs in Delhi
AdTech • Marketing Tech
This role focuses on delivering data science solutions aligned with client objectives, leading sales meetings to communicate business value, setting development goals for the team, building client relationships, and conveying insights based on data analysis.
Top Skills:
AnalysisClient PerformanceData ScienceMarketing Solutions
AdTech • Marketing Tech
This role involves developing data science solutions, leading client presentations, setting training objectives, building client relationships, and communicating insights.
AdTech • Marketing Tech
The Modelling & Data Science Executive delivers analysis to meet client goals, leveraging expertise in R, Python, and SQL for data manipulation, modelling, and visualization. Responsibilities include understanding business needs, conducting econometric modelling, and performing data QA and manipulation for marketing effectiveness analysis.
AdTech • Marketing Tech
The Modelling & Data Science Executive will analyze data to align with client objectives, conduct econometric and panel data analysis, and recommend marketing measurement solutions. Responsibilities include model evaluation, data manipulation, and generating insights from marketing data to exceed performance targets.
Fintech • Information Technology • Logistics • Payments • Analytics • Business Intelligence • Generative AI
As a Senior Data Scientist at Coupa, you will manage large datasets, implement ETL processes, improve data quality, and develop machine learning features.
Top Skills:
PysparkPythonPyTorchSQLTensorFlow
Productivity • Software • Conversational AI
Lead Media Mix Modeling efforts to optimize marketing strategies and budget allocations. Collaborate across teams to provide actionable insights and enhance marketing performance.
Top Skills:
Google’S MeridianMeta’S RobynPythonSQL
Software
As the Data Science & Engineering Lead, you will guide a team in developing and deploying machine learning models, optimizing data systems, and providing actionable insights through AI advancements. Responsibilities include model architecture, MLOps pipelines, and mentoring junior members while utilizing cutting-edge technology to drive innovation.
Information Technology • Internet of Things • Marketing Tech
The Engineering Manager of AI will lead teams to develop innovative AI solutions across various domains, including conversational agents, workflows, and voice technologies. Responsibilities include mentoring engineers, overseeing project execution, ensuring high product quality, and aligning AI initiatives with business strategies.
Featured Jobs
Artificial Intelligence • Financial Services
As a Director of Data Science at Oportun, you'll lead a team developing machine learning models to assess risk for underbanked consumers, manage data pipelines, and optimize marketing strategies using alternative data. This role entails product development, model governance, stakeholder management, and facilitating business initiatives.
Digital Media • eCommerce • Software
As a Senior Data Scientist at Saks, you will build machine learning solutions, address business problems, and demonstrate outcomes to stakeholders. You will collaborate with the team, apply advanced algorithms, and stay updated on machine learning advancements, focusing on customer analytics and product development in ecommerce and retail domains.
Artificial Intelligence • Financial Services
The Senior Manager, Data Science at Oportun will develop data products and machine learning models for risk management, fraud detection, and portfolio management. Responsibilities include building automated monitoring tools, reusable data pipelines, and leading projects from inception to execution. This role involves collaborating with compliance and other stakeholders while mentoring team members.
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Associate Data Scientist will contribute to data-driven decision making by analyzing data, developing models, and providing insights to support various business initiatives at MetLife.
Sports
As a Data Scientist at Sporty, you will develop innovative data science solutions and machine learning models to tackle business challenges. You will collaborate with various teams to implement advanced quantitative models, evaluate existing performance, and contribute to company growth through impactful data-driven decision-making.
Top Skills:
Python,Numpy,Pandas,Scikit-Learn,Lightgbm,Pytorch,Sql,Apache Spark,Aws,Gcp,Microsoft Azure
Artificial Intelligence • Financial Services
As a Senior Data Scientist at Oportun, you will develop machine learning models and data products for assessing risk, fraud detection, and optimizing marketing strategies. Responsibilities include building data pipelines, monitoring tools, and leading collaborative initiatives for model governance. You will work with various data sources to create insights that enhance financial inclusion for underbanked consumers.
Professional Services • Software
The Data Scientist will leverage analytical skills and machine learning to create predictive models and data-driven solutions, focusing on pricing optimization, customer segmentation, and revenue optimization. Responsibilities include driving analytical strategy, collaborating with stakeholders, performing data analyses, developing and validating machine learning models, and leading other analysts in model development.
Blockchain • Fintech • Financial Services • Cryptocurrency • Web3
As a Data Scientist at BitGo, you will develop data-driven insights, create metrics and dashboards, automate reporting, design experiments, and enhance data quality by collaborating with cross-functional teams to support business growth.
Insurance
The Staff Data Scientist will design data-driven strategies for optimizing ad effectiveness on native Android platforms, implement predictive models for ad targeting, analyze user behavior, and provide mentorship to junior data scientists, ensuring alignment with business objectives and user experience goals.
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Data Scientist II will develop and maintain NLP solutions, manage data science projects from design to production, create production ready Python packages, and ensure the robustness of data science pipelines against model drift.
Information Technology • Internet of Things
The Senior Data & AI Specialist will design and implement advanced data analysis and AI models, perform data analysis and visualization, develop predictive models using machine learning techniques, and collaborate with cross-functional teams to align customer needs with business objectives.
Top Skills:
BpmData VisualizationExcelGenerative AiMachine LearningPython
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