Top Data Science Jobs in Bengaluru, KA
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 bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
Senior Data Engineer role at S&P Global's Automotive Insights department. Responsible for managing and optimizing data pipelines within the automotive industry, designing scalable data architectures, and enabling efficient data access for analytics and machine learning applications.
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.
Gather business and functional requirements, develop data solutions, operate high-performance data structures, lead data and analytics efforts, mentor projects, drive innovation, and communicate data value.
As a Data Scientist at Kyndryl, you will be the bridge between business problems and innovative solutions using methodologies, statistics, mathematics, and software engineering. You will collect and explore data, create models, deploy them as code, and ensure data security and accuracy. This role offers opportunities for personal and professional growth.
Seeking an experienced Senior Data Engineer to develop core data services for industry-leading reports and insights. Responsibilities include designing and building solutions, working with other teams, and partnering with Data Science experts. Must have 7+ years of development experience with data pipelines, ETL, AWS data services, Python, JavaScript, and SQL. Nice-to-have skills include data analytics, ML, Agile development environment, and CI/CD deployment.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
Seeking a Senior Data Scientist with expertise in NLP and Deep Learning to lead improvement initiatives and develop data-driven solutions for real-world business problems. Responsibilities include analyzing NLP pipelines, proposing innovative ideas, implementing NLP models, and evaluating performance metrics.
Designing and building data models, developing data ingestion systems, implementing data storage solutions, ensuring data consistency, collaborating with cross-functional teams, and possessing proficiency in Python, big data, and Databricks.
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Analyzing large amounts of information to discover trends and patterns, developing prediction systems using machine learning algorithms, collaborating with engineering and product development teams to propose solutions and strategies, and implementing state-of-the-art machine learning techniques.
Senior Data Engineer role at Myntra, working on modernizing the data platform and building self-serve offerings for data consumers. Responsible for building data products and analytical models to support business decisions in the fast-growing field of big data and analytics.
Seeking a Senior Data Scientist with expertise in Python, TensorFlow, and deep learning to implement machine learning models and collaborate with product and engineering teams in a leading AI-driven Global Supply Chain Solutions Software Product Company.
The Data Engineer at Foundry will be responsible for designing, implementing, and optimizing data infrastructure pipelines, working closely with data analysts to ensure data quality and reliability.
Seeking a Senior Data Discovery and Enrichment Expert to work on building large-scale knowledge graphs for pharmaceutical drug discovery projects. Responsibilities include implementing knowledge acquisition solutions, modeling, and semantic data management. Requires expertise in knowledge engineering techniques and technologies.
As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines, collaborate with cross-functional teams, support data-driven decision-making, and contribute to data-driven initiatives.
Collaborate with Business Analyst teams, integrate new data sources, implement data lake solutions, set technical standards, and deliver scalable solutions. Strong development experience in ETL and data pipeline implementations, expert in Python and AWS services.
Preparation and transformation of data for forecast solutions, design and maintenance of data pipelines, collaboration with stakeholders, and continuous improvement of processes and tools for data pipelines.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
Seeking a Data Analytics Engineer to gather analytics requirements, build prototypes, provide impactful analytics solutions, and communicate updates. Must have 8+ years of experience in data analytics and visualization tools like Tableau, Snowflake, and SQL Server.
Design, build, and maintain scalable data pipelines and ETL processes, collaborate with teams, optimize database systems, implement data quality processes, evaluate new tools and technologies, troubleshoot data-related issues, document processes, stay current with industry trends, guide and mentor team members, stakeholder management, and leadership skills.
Seeking a Senior Applied Scientist / Data Scientist with expertise in machine learning and artificial intelligence to enhance Zscaler's tools and drive innovation. Responsibilities include developing ML models, conducting research in AI technologies, collaborating with teams, analyzing datasets, and staying updated with industry advancements.
Design and implement data pipelines, write efficient code for data transformation, work with big data and distributed systems, collaborate with technology teams, and explore new technologies to improve data capabilities.
Join Thrasio as a Senior Data Analytics Engineer to solve complex business problems by leveraging data, building scalable processes, and compelling visualization. Partner with stakeholders, develop scalable data solutions, and drive efficiency in processes.
The Data Engineer 1 position at JLL involves developing, executing, and monitoring complex data management processes for ad hoc data and information delivery. The role requires strong SQL skills and knowledge of various data science tools. The individual will work on data architecture, data integration, data warehousing, and business intelligence in a global environment.
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