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Boston Scientific · 10 hours ago

Data Scientist II

Maple Grove, MN

Full-time

Hybrid

Entry, Mid Level

$70K/yr - $132K/yr

2+ years exp

Boston Scientific is a leader in medical science, dedicated to solving important health industry challenges. The Data Scientist II will leverage data analytics to drive insights, inform decision-making, and optimize performance within the medical device organization, collaborating closely with cross-functional teams.

Health CareMedicalMedical Device

No H1B

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

Qualification

PythonData analysisMachine learningStatistical modelingData visualizationCloud platformsVersion controlProblem-solvingCommunication

Required

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

Preferred

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