Data Scientist

Beth Israel Lahey Health • Boston, MA

34d

About The Position

When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives.The Data Scientist will work on projects with single cell and spatial tissue profiling data and support data analysis processes and procedures in the team. This role will perform research and development of advanced analytics solutions in healthcare and deliver results by reducing computational complexity and increasing the accuracy of models and improving on business metrics. Interact with subject matter experts to uncover important insights and build on concepts in statistics. This position may be assigned to work on special projects, and other job duties, as needed.Job Description:Primary Responsibilities:

Requirements

• Bachelor's degree in computer science, Data Science, or a related engineering discipline required; Master's degree preferred.
• 1-3 years related professional experience required in in an engineering role, including industry experience in software engineering and data science.
• Understanding of Data Structures and Algorithms. Experience designing and developing scalable distributed systems with deep understanding of architectural and design patterns, object-oriented design, modern program languages. Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores.
• Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
• Knowledge of parallelism and concurrency to leverage modern hardware for serving ML models.
• Working knowledge of Unix/Linux systems. Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL. Familiarity with libraries such as pandas, TensorFlow, scikit-learn, Kares. Advanced technical computer skills as required for technical support specific to functional area and related systems.

Nice To Haves

• Knowledge and experience using basic and intermediate project management tools and techniques.
• Programming skills with fluency in at least one of Python, Java, Scala, C/C++.
• Familiar with industry standard software engineering practices and systems knowledge.
• A proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic.

Responsibilities

• Collaborates with business stakeholders to document business problems requiring advanced analytics; develop, evaluate and implement machine learning models to improve business operations.
• Collaborates with Software Engineering, Data Engineering and clinical team to structure and normalize data systems and other data enrichment sources.
• Works on feature engineering, statistical analysis, develop novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose; creates machine learning algorithms to optimize and deliver results, perform hyper-parameter tuning, and evaluated model performance.
• Works with cognitive computing platforms to improve predictions about patient outcomes, focuses on configuring, operationalizing, and reporting on vendor developed models.
• Visualizes and interprets data and model results
• Uses machine learning frameworks in both development, testing and production environments.
• Participates on all parts of the machine learning project lifecycle from dataset curation to model deployment.
• Performs all other duties as needed or directed to meet the needs of the department and or customer.
• Achieves and maintains required certifications (if applicable).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees