Data Scientist

MedReview is looking for a talented and experienced

Data Scientist

to 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 like Tableau or Power BI to influence executive decisions.

Qualifications

Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)

Programming

Proficiency in Python or R along with SQL for database querying.

Mathematics & Statistics

Strong foundation in linear algebra, calculus, and statistical modeling.

Machine Learning

Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Soft Skills

Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams