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Senior Data Scientist (NLP)

Job Posted 41 Minutes Ago Posted 41 Minutes Ago
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Hyderabad, Telangana
Senior level
Hyderabad, Telangana
Senior level
The Senior Data Scientist (NLP) at Roche will apply NLP techniques to extract insights from text data, collaborate with teams to meet business requirements, mentor others, present findings, and document projects within an agile environment. The role requires strong communication and stakeholder management skills, with a focus on solving business problems.
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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.

The PositionSenior Data Scientist (NLP)

Roche India - Roche Services & Solutions

Hyderabad

As a Senior Data Scientist (NLP) 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

As a Senior Data Scientist, you will be expected to 

  • Integrate and apply state-of-the-art language processing models and algorithms to extract insights from large volumes of text data

  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions using NLP techniques

  • Mentor and guide other chapter members, providing technical support and expertise

  • Present findings and insights to stakeholders through clear, concise, and compelling reports and presentations, communicate ideas for team Analytics & Automation and willingly receive feedback for self-improvement

  • Create and manage documentation for different data science / data engineering projects

  • Collaborate in an agile and cross-functional team with other Data Scientists, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions

Who You Are

You’re someone who wants to influence your own development. You’re looking for a company where a job title is not considered the final definition of who you are, but the starting point

  • You have a Bachelor’s Degree (Masters is a plus) in mathematics, computer science, statistics, engineering, or information science

  • You have at least 5 years of relevant experience, ideally in a multicultural environment with global processes (Commercial, Finance, Procurement, Supply Chain, IT)

  • You have 2 years of professional work experience in: 

    • Utilizing machine learning frameworks and libraries to build, train, and deploy NLP models (LLM experience is a plus), and

    • Integrating your solution within AWS and/or GCP and leveraging services provided by AWS and/or GCP

  • You are a strong team player with interpersonal skills and strong collaborative and solution-focused mindset

  • You possess strong communication, networking skills, you are someone who enjoys working with others and acts as a team player

  • You want to contribute to solving business problems, taking on what tasks are necessary to make valuable solutions come to life

  • You have extensive experience with stakeholder management

  • English is a must, additional languages are a plus

Who we are

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.

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