Senior Data Scientist

1 week ago

san francisco, United States Magnit Full time

This is a contract and Hybrid role through Magnit Global with one of the world’s leading health insurance companies. This is NOT a C2C opportunity and is on W-2.


Client Details

Job Position : Sr Data Scientist / Machine Learning Engineer

Client : Roche Genentech

Location : South San Francisco, California

Duration : 12 + Months (Possibilities of Extensions)


Job Description:

We are looking for a Sr Data Scientist with experience in Machine Learning Engineering to join the Roche Product Development Digital Strategy & Enablement team (PD-DSE). In the DSE we focus on delivering technology that evolves the practice of medicine and helps patients live longer, better lives. We are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal enterprise solutions. We share knowledge, experience & appreciate different points of view.

As a Senior Data Scientist, you will work closely with multi-disciplinary teams to design, develop and deploy structured, high-quality data solutions in particular Large Language Model (LLM) applications. These solutions will be leveraged across the PD organization to help our teams fulfill our mission: to do now what patients need next.

Key Accountabilities:

  • Partner with fellow Data Scientists, ML engineers, MLOps / DevOps engineers and cross functional teams to solve complex problems and create unique solutions by using modern NLP technologies in particular LLMs.
  • Build data pipelines and deployment pipelines for ML models.
  • Development of ML models according to business and functional requirements.
  • Able to help deploy various models and tune them for better performance.
  • Document and communicate the design and implementation details.
  • Contribute to the DSE AI team on technical decisions.
  • Collaborate with clients, informatics departments to deploy scalable and easy-to-maintain solutions.
  • Serves as a technical point of contact for enterprise wide technologies solutions. Leads complex troubleshooting efforts and root cause analysis.


Qualifications:

  • Experience with LLM applications development including tool using and reasoning, for instance RAG solution and code interpreter.
  • Experience with LLM fine tuning a big plus
  • Experience in building data pipelines and deployment pipelines for LLM applications
  • Recent experience with ML/AI toolkits such as AWS Sagemager (other toolkits like Pytorch, Tensorflow, Keras, MXNet, H20, etc are nice to have).
  • Experience with MLOps technologies (Sagemaker, Vertex AI, Kubeflow)
  • Experience with cloud solutions (AWS / Azure / GCP), docker
  • Proven scripting and automation skills
  • Good knowledge of: git, bash, linux, CI/CD tools (e.g. jenkins, gitlab CI), software lifecycle, RDB, visualization tools eg Tableau, Jira, confluence
  • Programming languages: Python, R
  • Test driven development, good coding practices
  • Problem-solving and decision-making skills.
  • Good interpersonal skills.
  • Customer & delivery focus.
  • Ability to work effectively with team members and virtual teams from different locations and different cultural backgrounds.
  • Experience with deployment of scalable apps a plus
  • Experience with clinical study data a plus

Education / Years of Experience:

  • Master in quantitative field (e.g. mathematics, statistics, computer science, EE, etc.), and/or Life Sciences degree with significant computational experience, or equivalent, with 5+ year working experience in Data Science. PhD a plus.
  • 2+ years of commercial Data Engineering / ML Engineering / MLOps / UI/UX engineering experience
  • 3+ years of commercial software engineering experience

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