2,817 director data analytics jobs in India.

... 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir https://jobeax.com/link/S4RuHJ1G3doUiTso ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir https://jobeax.com/link/RDUDqJz5k99Gqrkb ...

... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...

... record of accomplishment of successful project completion. - Strong and proven ability to use computer and office software applications. - Experience with analytics environment and Informatica technology solutions (Cloud, MDM, Big Data, DQ, DI, Data Security). - Ability to explore, examine, and understand complex enterprise ...

Senior Lead Data Engineer

... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...

Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...

... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...

... codebases, or team projects. Join SAP SuccessFactors at a pivotal point in the evolution of enterprise AI, where we are moving beyond traditional applications and analytics toward intelligent, autonomous agents that can understand HCM context, reason over trusted business data, and help customers make better workforce decisions. ...

... change, applying first-principles problem solving, and using data to learn and adapt along the way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and ...

Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...

Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...

... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...

... Senior Data Engineer / Consultant to join our expanding Data & Analytics practice. This role is pivotal in designing, developing, and optimizing enterprise-scale data engineering solutions across modern cloud platforms. The successful candidate will work closely with cross-functional teams, including architects, data scientists, ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...

... influencing eCommerce, merchandising, and loyalty strategy. Required Experience: - Bachelor's or master's degree in a quantitative field such as Statistics, Data Science, Applied Mathematics, or Computer Science. - 4–6 years of analytics experience with significant exposure to eCommerce, digital marketing, loyalty programs, ...

We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you'll work across the entire data science lifecycle from exploratory analysis and statistical modelling to deploying ...

... development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company's business strategy. Inspire Brands Hyderabad ...

... solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in ...

... non-technical scenario. Collaborate with compliance teams to implement robust data validation processes. Design and maintain data models for reporting and analytics, facilitating faster insights and decision-making for business stakeholder. Automate data quality checks and monitoring processes, improving data reliability, ...