Data Scientist I
About The Position
0 - 2 years of experience in the medical device space. Bachelors degree in Data Science. Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. Proficiency in Python programming language as well as other languages (e.g. R, Matlab, Julia, C++, Java, etc.) Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Plotly, Seaborn, or similar. Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar. Robust understanding of large language models (LLM) and frameworks including retrieval-augmented generation (RAG). (e.g. LangChain, LlaMA, GPT, Bard, etc.) Basic understanding of statistical modeling, machine learning algorithms, and predictive analytics techniques. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Basic understanding of database management systems. Experience with version control systems such as Git. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to work independently as well as collaboratively in a team environment.
Requirements
- 0 - 2 years of experience in the medical device space
- Bachelors degree in Data Science
- Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
- Proficiency in Python programming language as well as other languages (e.g. R, Matlab, Julia, C++, Java, etc.)
- Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Plotly, Seaborn, or similar
- Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar
- Robust understanding of large language models (LLM) and frameworks including retrieval-augmented generation (RAG). (e.g. LangChain, LlaMA, GPT, Bard, etc.)
- Basic understanding of statistical modeling, machine learning algorithms, and predictive analytics techniques
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Basic understanding of database management systems
- Experience with version control systems such as Git
- Strong problem-solving skills and attention to detail
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
- Ability to work independently as well as collaboratively in a team environment
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
