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Data Scientist

MedReview

Austin, TX • 9/13/2026

Job Description

Job Description
Position Summary:
MedReview is looking for a talented and experiencedData Scientistto join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.This position will sit in Austin, Texas. However, for the right fit, we may consider remote.

Responsibilities:
  • Problem Identification:Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation:Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development:Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA):Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization:Translate technical findings into "data stories" using tools likeTableauorPower BIto influence executive decisions.
Qualifications:
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming:Proficiency inPythonorR along withSQLfor database querying.
  • Mathematics & Statistics:Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning:Experience with frameworks likeTensorFlow,PyTorch, orscikit-learn.
Soft Skills:Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.Experience working with global and remote teams

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