Top Data Science Jobs in Bengaluru, KA
Lead Data Scientist role at Target focusing on developing predictive algorithms, interacting with various teams, and contributing to Data Sciences' culture. Responsible for building and maintaining pricing models and generating price recommendations for assortment across stores and digital channels.
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.
Seeking a skilled Data Scientist to analyze datasets, develop predictive models, and contribute to data strategy. Responsibilities include deriving insights, implementing machine learning models, and monitoring model performance. Requires 5+ years of experience and proficiency in Python or R.
As a Data Engineer at Bosch Global Software Technologies Private Limited, you will be responsible for designing, developing, and managing data pipelines to bring data from multiple sources into a data lake. Your role includes optimizing the data lake ecosystem for scalability, managing metadata, ensuring data quality, and collaborating with team members. You should have hands-on experience with big data technologies, cloud platforms, programming languages, and data governance practices.
Lead Data Engineer providing technical guidance to data teams, developing advanced analytics solutions, and optimizing data value for partnered organizations. Ensuring standards are met and addressing unique challenges using programming, statistics, data analysis, and leadership.
Seeking a Staff Data Scientist experienced in NLP, Deep Learning, and Insights to lead AI-powered applications at Walmart Data Ventures. Responsibilities include developing NLP-based capabilities, leading team projects, and collaborating with cross-functional teams to implement business solutions.
Staff Data Engineer role at Procore's Data Division focused on building the next-generation construction data platform, collaborating with teams to develop data platform capabilities for analytics and machine learning, and influencing the product roadmap with innovative data solutions.
The Data Scientist III at Intuit Credit Karma will work on high-impact opportunities to demonstrate extensive data for better user service, accelerate revenue advancement, and participate in industry-first data science projects. Responsibilities include model adoption, research on Deep Learning and Recommender systems, and personalization in the field of Personal Finance.
Demonstrates use and application of data science principles, methods, theories, and concepts to assignments. Provides solutions to problems by collecting and analyzing data from diverse sources. Explores novel approaches to data science solutions. Contributes to the refinement and deployment of data science solutions.
Senior Data Scientist role at NomiSo, working on ML/AI algorithms to improve products and solutions for customers. Responsibilities include developing code, collaborating with leadership, implementing ML models, and mentoring team members.
As a Data Scientist at Target, you will be responsible for developing and managing state-of-the-art predictive algorithms using data at scale to automate and optimize decisions. You will work on solutions for Marketing, Supply Chain Optimization, Network Security, and Personalization. Responsibilities include data exploration, algorithm implementation, codebase development, and collaboration with peers in an agile environment. Strong programming skills in Python, R, Java, or Scala are required.
As a Senior Data Scientist at MiQ, you will be responsible for end-to-end project delivery, pitching new analytics capabilities, understanding client challenges, providing actionable outcomes, driving growth of capabilities, and leading new initiatives for operational excellence. You will work with stakeholders like account managers, traders, and sales analysts to build solutions and contribute to product roadmaps.
Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.
Design, develop, and execute analytical algorithms to solve business problems in the video streaming industry. Collaborate with stakeholders to optimize business operations and improve decision-making through data analysis. Stay updated with the latest data science tools and techniques.
As an Analytics Engineer at Kong, responsible for data engineering and product analytics tasks, optimizing the data ecosystem, collaborating with cross-functional teams, and deriving actionable insights. Key responsibilities include data engineering, product analytics, data quality and governance, collaboration, and utilizing the Kong data ecosystem.
Data Engineer role at Procore to work on next-generation global data infrastructure, build data pipelines, develop data visualizations, and collaborate with cross-functional teams to deliver actionable insights from data to the business.
Senior Data Scientist role at Gojek Marketplace in India, involving mining insights from data, building data products, designing experiments, and collaborating with business leads and product managers. Responsibilities include formulating technical problems, deploying data science solutions, analyzing data, and conducting experiments. Requires Bachelor's/Master's degree in relevant field, 3-5 years of experience, expertise in Python, SQL, and basic visualization tools, and hands-on experience in Data Science and Machine Learning. Bonus points for domain experience in ML engineering and familiarity with cloud platforms and data processing frameworks.
Seeking a Senior Data Engineer to design and implement data solutions, develop data pipelines, optimize data models, and collaborate with teams for seamless integration and visualization. Mentor junior team members and stay updated with industry best practices.
Senior Data Scientist role at Target in the Supply Chain department, responsible for designing, developing, deploying, and maintaining data science models and tools. Collaborate with cross-functional teams to improve supply chain logistics and operational efficiencies through scalable data science products.
The Data Engineer II at Jumio plays a crucial role in enhancing data infrastructure and analytics capabilities by building data transformation pipelines, monitoring data distribution shifts, managing dataset versions, and analyzing system performance. The role contributes to improving machine learning models' accuracy and efficiency in production environments.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
Seeking a Senior Data Engineer to build Procore's next-generation construction data platform. Responsibilities include designing and implementing data platforms, models, and pipelines, collaborating with teams, staying updated on data technology trends, and mentoring teammates. Requires 6+ years of experience with cloud-based data platforms, data warehouses, MPP query engines, and data modeling. Strong skills in Python, Java, Scala, and various data technologies.
JLL is seeking a Senior Data Engineer to work in a fast-paced environment, designing and developing data solutions for the Commercial Real Estate business. Responsibilities include developing data pipelines, optimizing system performance, implementing data architecture best practices, collaborating with data scientists, and ensuring data integrity.
The Data Engineer will collaborate with technical teams to develop data pipelines, support data applications, profile data sources, and improve data integrations using modern cloud and big data architectures. Minimum qualifications include 3+ years of experience in data warehouse design, proficiency in SQL, data modeling, Python, and ELT tools like Matillion and Fivetran. Preferred qualifications include experience with CI/CD process and advanced Snowflake.
Seeking a Senior Staff Data Engineer to lead the development of data infrastructure, data processing, and quality checks. Responsibilities include setting strategic vision, providing technical leadership, collaborating with data scientists, and optimizing data infrastructure for performance and scalability.
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