Data Science, Staff Engineer

Category Data Science Hire Type Employee Job ID 13930 Remote Eligible No Date Posted 12/01/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a visionary data expert with a passion for engineering robust, scalable, and efficient analytics solutions. As a Data Science Staff Engineer in Hyderabad, you thrive in dynamic, fast-paced environments, bringing a deep commitment to building and refining enterprise data infrastructure. Your expertise spans the modern data stack—cloud data warehouses, transformation and ingestion tools, and advanced analytics. You have a proven track record of leveraging data modeling, pipeline construction, and algorithm development to deliver actionable business insights.

You are adept at translating complex technical concepts into value for business stakeholders, collaborating effectively with cross-functional teams, and guiding data-driven decision-making across the enterprise. Continuously curious, you stay at the forefront of AI, Generative AI, and machine learning advancements, seeking to integrate these innovations into your daily work. Your experience is complemented by a strong foundation in scripting languages, visualization tools, and best practices in data management, governance, and quality.

Your communication skills, attention to detail, and proactive mindset enable you to support business users, champion best practices, and drive continuous improvement. You are passionate about mentoring others, fostering a collaborative environment, and delivering high-impact solutions that move the organization forward.

What You’ll Be Doing:

Building the data engineering and analytics infrastructure for our new Enterprise Data Platform using Snowflake and Fivetran.

Leading the development of data models, algorithms, data pipelines, and insights to enable data-driven decision-making.

Collaborating with team members to shape the design and direction of the data platform.

Working end-to-end on data products, from problem understanding to developing data pipelines, dimensional data models, and visualizations.

Providing support and advice to business users, including data preparation for predictive and prescriptive modeling.

Ensuring consistency of processes and championing best practices in data management.

Evaluating and recommending new data tools or processes to keep the platform innovative and efficient.

Designing, developing, and deploying scalable AI/Generative AI and machine learning models as needed.

Providing day-to-day production support to internal business unit customers, implementing enhancements and resolving defects.

Maintaining awareness of emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions.

The Impact You Will Have:

Drive the development of a cutting-edge data platform that supports enterprise-wide data initiatives.

Enable data-driven decision-making across the organization through robust data models and insights.

Enhance the efficiency and effectiveness of data management processes, ensuring scalability and reliability.

Empower business users to leverage data for predictive and prescriptive analytics, boosting organizational agility.

Innovate and integrate advanced AI and machine learning solutions to solve complex business challenges.

Contribute to the overall success of Synopsys by ensuring high-quality data infrastructure and analytics capabilities.

Foster a culture of continuous improvement and technological advancement within the team.

What You’ll Need:

BS with 5+ years of relevant experience or MS with 3+ years in Computer Sciences, Mathematics, Engineering, or MIS.

5 years of experience in DW/BI development, reporting, and analytics roles, working with business and key stakeholders.

Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA).

Hands-on experience with modern data stack tools, such as cloud data warehouses (Snowflake), transformation tools (dbt), and cloud providers (Azure, AWS).

Experience with data ingestion tools (Fivetran, HVR, Airbyte), CI/CD (GitLab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan) is a plus.

Proficiency in scripting languages like Python, Unix, SQL, Scala, and Java for data extraction and exploration.

Experience with visualization tools like Tableau and PowerBI is a plus.

Knowledge of machine learning frameworks and libraries (Pandas, NumPy, TensorFlow, PyTorch) and LLM models is a plus.

Understanding of data governance, data integrity, and data quality best practices.

Experience with agile development methodologies and change control processes.

Who You Are:

You are a collaborative and innovative problem-solver with a strong technical background. Your ability to communicate effectively with diverse teams and stakeholders is complemented by your analytical mindset and attention to detail. You are proactive, continuously seeking opportunities to leverage new technologies and methodologies to drive improvements. You thrive in a fast-paced environment and are committed to delivering high-quality solutions that meet business needs.

The Team You’ll Be A Part Of:

You will join the Business Applications team, a dynamic group focused on building and maintaining the data infrastructure that powers our enterprise-wide analytics and decision-making capabilities. The team is dedicated to innovation, collaboration, and excellence, working together to drive the success of Synopsys through cutting-edge data solutions.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.