Data Scientist II
About The Position
We are seeking a motivated Data Scientist II to join our dynamic, growing team within the Process Development functional area. As a Data Scientist II, you will work to help leverage data analytics to drive insights, inform decision-making processes, derive actionable insights, and optimize performance within our medical device organization. You will collaborate closely with cross-functional teams to assist in the development and implementation of data analytics solutions that support our mission of delivering high-quality products and improving patient outcomes. The candidate must have a desire to learn quickly, communicate effectively, and solve technical/complex problems in a hands-on manner. At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our local office at least three (3) days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field
- Minimum of 2 years of professional data science (or similar) experience; candidates with advanced degrees in relevant fields may be considered eligible, with advanced degrees being considered in lieu of industry experience
- Excellent proficiency in Python programming language as well as experience in other languages (e.g. R, Matlab, Julia, Javascript, C++, Java, etc.)
- Solid experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Streamlit, Plotly, Seaborn, Scipy, or similar
- Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar
- Basic understanding of statistical modeling, machine learning algorithms, and predictive analytics techniques
- Basic understanding of database management systems
- 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
Nice To Haves
- Hands-on experience building, evaluating, and deploying Generative AI–powered applications, including model integration, prompt engineering, and production deployment
- Robust understanding of large language models (LLM) and frameworks. (e.g. LangChain, LlaMA, GPT, Bard, etc.)
- Experience with cloud platforms such as AWS or Azure
- Experience with version control systems such as Git
- Demonstrated ability to stay current with cutting-edge academic and industry research and translate emerging methods into practical solutions for novel business problems
Responsibilities
- Collaborate with cross-functional teams to understand project requirements and objectives
- Engage and manage stakeholders to understand needs, identify opportunities, and deliver impactful analytical or AI-driven solutions
- Collect, clean, and preprocess large datasets from various sources, ensuring data quality and integrity
- Maintain and expand deployed data analytical web apps
- Develop and implement statistical models, machine learning algorithms, and data mining techniques to analyze data
- Generate and visualize insights from data analysis, creating detailed reports and presentations for stakeholders
- Apply sound software engineering practices in iterative development environments where requirements and design constraints are evolving or initially undefined
- Prepare and present technical data and recommendations at technical reviews
- Stay up-to-date with the latest advancements in data science, machine learning, and healthcare technology
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
