Top Data Science Jobs in Hyderabad, TG
The Staff Data Scientist at ServiceNow focuses on developing and implementing cutting-edge artificial intelligence technologies for Human Resources innovation. Responsibilities include exploring advanced AI techniques, developing prototypes, optimizing AI models, analyzing complex datasets, and deploying AI systems. Qualifications include an advanced degree in Data Science or related field, 3-5 years of experience in machine learning or AI research, expertise in Python and R, strong analytical skills, and excellent communication abilities.
Lead Data Scientist focusing on GenAI to pioneer innovative applications of data science and machine learning in employee engagement. Responsible for developing cutting-edge AI/ML solutions, building conversational servicebots, analyzing streaming data, and designing scalable systems.
Senior Data Scientist role at Freshworks focusing on Generative Artificial Intelligence (GenAI) to pioneer innovative applications of data science and machine learning in employee engagement. Responsibilities include collaborating with teams, defining metrics, designing intelligent systems, and collaborating on ML/AI architecture.
Drive direct business impact with executive-level visibility, design technical architecture, work on unique data challenges, grow data engineering skills, build data pipelines, collaborate with data analysts and scientists, establish best practices, assess build vs buy decisions, be a founding member of the team
Interact with stakeholders to understand business needs, develop solutions using SQL, Alteryx, and Python, work on data validations, and provide actionable insights through data analytics. Requires 4-7 years of experience in Data Transformation and Visualization.
Senior Analytics Engineer responsible for using data and analytics to drive operational changes and growth strategies at Warner Bros. Discovery. Develop advanced analytical solutions, build dashboards using tools like Looker and Tableau, and collaborate with cross-functional partners to ensure business logic is properly represented.
As a Principal Analytics Engineer at Warner Bros. Discovery, you will champion the overall data and analytics strategy for various streaming and non-streaming data domains. Responsibilities include creating data strategy, architecture, and roadmap, architecting data products, assisting in executive decision making, promoting data-driven innovation, hiring and mentoring engineers, and overseeing platform support and budgetary concerns.
As a Principal Analytics Engineer at Warner Bros. Discovery, you will lead data and analytics strategy for various streaming and non-streaming data domains. Responsibilities include working with stakeholders to create data strategy, architect data products, prepare analysis for decision-making, promote data-driven innovation, mentor engineers, and oversee platform support and budget.
Featured Jobs
Analytics Engineer at Opendoor to drive direct business impact with executive-level visibility, design technical architecture, work on joining various online and offline data sets, grow Data Science and Data Analytics skills, mentor junior team members, collaborate with infrastructure and product engineers, design and monitor scalable data pipelines, establish best practices for data engineering, assess build vs buy tradeoffs for components, and be a founding member of the Data Engineer team.
Join Oportun's world-class team of Data Scientists to develop and enhance scoring risk for underbanked consumers using machine learning and statistical modeling. Responsibilities include developing data products, building monitoring tools, and leading initiatives to drive business value. Qualifications include a Master's degree or PhD in a quantitative discipline and hands-on experience with machine learning techniques.
Enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training analysts and data scientists, optimizing databases, collaborating across data teams.
Design, implement, and maintain data warehouse environments. Collaborate with cross-functional teams to support data-related initiatives. Strong focus on performance, scalability, and data flow management.
As a Senior Data Engineer at Motive, you will be responsible for building data pipelines, designing data models, and working with multiple teams to deploy robust data operations. The role requires 6+ years of experience in Data Engineering and strong skills in SQL, Python, and modern data engineering technologies.
Work closely with project teams to drive the use of statistical and data science methods in experimental planning, analysis, and reporting for the development of synthetic molecule formulations. Apply statistical and data science methods to generate business insights for continuous improvement and enhance ways of working.
Establish business value creation applying Advanced Analytics and Data Engineering techniques on a variety of small, medium, and big data. Responsibilities include building and fine-tuning algorithms, understanding stakeholder requirements, driving data and architectural requirements, ensuring security and compliance, and contributing to AI initiatives.
Staff Data Science Engineer at Micron Technology with 6 years of experience in analytics, data science, and software engineering. Responsibilities include data analysis and machine learning on large datasets, statistical modeling, data extraction, software development, and communication skills. Experience with Python, R, PySpark, SparkR, Hadoop, Teradata, SQL, Tensorflow, and more. Semiconductor industry exposure is a plus.
Work as a Data Engineer at Warner Bros. Discovery to create data technology stacks, optimize data technologies, and shape digital data strategy. Responsibilities include ETL processes, database queries, debugging, JIRA user stories, BI tools usage, QA testing, and monitoring data loads. Required qualifications include a Bachelor's degree in computer science or related field, 5-8 years of data engineering experience, knowledge of various data sets and programming languages, and expertise in MPP databases and AWS cloud services.
Work as a Data Engineer at Warner Bros. Discovery to develop data technology stack for end-user insights and digital product strategies. Responsible for data architecture, modeling, ETL processes, database queries, and BI tools. Must have strong experience in SQL, Python, AWS, Teradata, Snowflake, and data modeling.
Seeking a Sr. Staff Data Engineer to build a state-of-the-art data platform for various data-driven use cases. Responsibilities include translating business requirements into engineering architecture, building cutting-edge data platform software, and leading exploratory analytics and data mining efforts.
The Principal Data Engineer at Skillsoft will drive the advancement of Enterprise data infrastructure, lead the development of deep data-driven analyses, and collaborate with cross-functional teams in an agile environment. Responsibilities include designing and implementing data infrastructure, building data products, managing a small team, and evangelizing the Enterprise Data Strategy & Execution Team mission.
Looking for a Sr. Staff Data Engineer to build a state-of-the-art data platform for various data-driven use cases across the organization. Responsibilities include translating business requirements into engineering architecture, building software for event-driven data processing, storage, and serving through APIs, and exploring and utilizing data through analytics and data mining.
Seeking a dynamic and experienced Engineering Manager to lead the AI & Data Science team at Cyara, driving innovation and development of AI and machine learning solutions to enhance product offerings and improve customer experience.
Looking for a Data Rockstar with end-to-end experience in data gathering, data mining, and developing executive level analytics dashboards. Responsibilities include developing interactive data visualizations, designing scale analytics solutions, leading complex data analysis, troubleshooting production issues, and training business users.
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.
Seeking a dynamic Recruiter with 4+ years of experience in in-house or consulting recruitment supporting diverse business needs. Responsibilities include talent acquisition, candidate relationship management, collaboration with hiring managers, job posting, interviewing and evaluation, and data management. Must have experience in Europe/UK hiring and strong communication skills.
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