Senior Data Scientist

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Healthcare, Data & AnalyticsIndustries

Requirements

Candidates should have a Master's degree in Data Science, Computer Science, Statistics, or a related field, with a PhD being a plus. They must possess at least 5 years of experience in data science, preferably within healthcare or a research-focused environment. Proficiency in Python and SQL for data manipulation and analysis is required, along with past experience working with MongoDB and AWS Postgres. Knowledge of machine learning engineering principles and experience in defining data science projects from scratch is essential.

Responsibilities

The Senior Data Scientist will analyze large datasets from surgical procedures, medical imaging, and AI models to extract meaningful insights. They will collaborate with ML engineers to optimize machine learning algorithms for surgical computer vision applications and conduct statistical analysis to support research initiatives. The role involves cleaning, processing, and transforming raw data into high-quality datasets, ensuring data integrity and accuracy across all stages of the data pipeline. Additionally, they will present findings and recommendations to both technical and non-technical audiences.

Skills

Python

SQL

MongoDB

AWS Postgres

Data Analysis

Data Manipulation

Healthcare

Big Data

Surgical Data Science Collective

AI-based surgical video analysis and data storage

About Surgical Data Science Collective

At this company, the fusion of artificial intelligence and surgical expertise puts it at the forefront of enhancing surgical outcomes. By focusing on analyzing surgical videos to refine techniques and outcomes, the firm provides an essential service in medical technology. Employees engage in cutting-edge work in a field that directly impacts healthcare quality, offering a compelling reason to pursue a career here for those interested in tech-driven medical innovations.

Washington, DC, USAHeadquarters

2022Year Founded

VENTURE_UNKNOWNCompany Stage

11-50Employees