Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
Data Engineer/ Data Scientist (d/f/m)
Roche India – Roche Services & Solutions (RSS)
Hyderabad
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
That’s what makes us Roche.
As a Data Engineer / Data Scientist, you will be responsible for delivering high quality outcomes by applying the right fit-for purpose solutions in collaboration with other stakeholders and team members within the same business line.
RSS is a global division with regional presence in Switzerland, India, Hungary, Costa Rica and Malaysia. We operate in an agile organizational set-up without extensive hierarchical structure, where all our employees lead from every seat, inspirational leadership, service oriented behavior and entrepreneurial customer centric mindset are our core values.
Your Opportunity
Apply specific fit-for-purpose methods and implement analytics and processing algorithms.
Onboard data into Snowflake and further database systems and implement data loads and data analysis; incl. backend development in dbt, SQL, and Python.
Operationalize models leveraging AWS services and set up optimal architectures for the data science projects in AWS.
Support projects independently, partnering with business stakeholders to ensure business needs are met.
Partner with colleagues, stakeholders and Roche-internal customers globally and across all time zones
Build and strengthen relationships with other departments/groups across Roche to help identify synergies and streamline redundancies.
Create and manage documentation for different data science / data engineering projects.
Collaborate in an agile and cross-functional team with other Data Scientists, Data Engineers, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions.
Performs demos, project reviews, and retrospectives; communicates ideas for team Analytics & Automation and willingly receives feedback for self-improvement.
Participate in exploratory projects to evaluate new technologies and establish new services.
Embrace new ways of working with fast iterations, lean documentation and planning, close alignment to our colleagues from business and IT and close communication across global teams.
Who you are
You hold a bachelor's degree (Mathematics, Computer Science, Statistics, Engineering or Information Science) and 2+ years of experience in a multicultural environment with global processes (Commercial, Finance, Procurement, Supply Chain, IT). Preferably, you have a Master's degree
Work experience in Designing and developing data flows and ETL processes using modern storage solutions (e.g., Snowflake, AWS Redshift, SAP BW4) and applying advanced statistical methods and complex algorithms to real world data
Experience in at least one of the languages SQL/dbt, Python is a must
You are someone who wants to influence your own development. You are looking for a company where a job title is not considered the final definition of who you are, but the starting point
Strong team player with interpersonal skills and strong collaborative and solution-focused mindset
Strong communication, networking skills, someone who enjoys working with others and acts as a team player
Solid experience with stakeholder management
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Roche is an Equal Opportunity Employer.