Apply on Employer Site

Boston Scientific · 11 hours ago

Data Scientist I

Arbor Lakes, MN

Full-time

Onsite

New Grad, Entry Level

$60K/yr - $114K/yr

0+ years exp

Boston Scientific is a leading company in the healthcare industry, specializing in the development and manufacturing of cutting-edge medical devices. We are seeking a motivated Data Scientist I to join our dynamic team within the Process Development division, where you will leverage data analytics to drive insights and optimize performance in our medical device organization.

Health CareMedicalMedical Device

No H1B

Responsibilities

Collaborate with cross-functional teams to understand project requirements and objectives

Assess manufacturing processes for automation and analytics opportunities

Collect, clean, and preprocess large datasets from various sources, ensuring data quality and integrity

Develop and implement statistical models, machine learning algorithms, and data mining techniques to analyze data

Assist in designing and conducting experiments to test hypotheses and validate models

Generate and visualize insights from data analysis, creating detailed reports and presentations for stakeholders

Prepares and presents technical data and recommendations at technical reviews

Continuously monitor and improve the performance of existing models and algorithms

Stay up-to-date with the latest advancements in data science, machine learning, and healthcare technology

Qualification

PythonMachine LearningData AnalysisStatistical ModelingData VisualizationCloud PlatformsVersion ControlProblem-SolvingCommunicationTeam Collaboration

Required

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

Previous internship experience with Boston Scientific

Preferred

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