Data Scientist

MedReview Inc.; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A leading healthcare analytics firm in Austin, Texas is seeking an experienced Data Scientist to leverage analytical skills and expertise in machine learning. The role involves collaborating with cross-functional teams to develop predictive models and solve business challenges. Candidates should have a Master’s degree or equivalent experience in a quantitative field and proficiency in Python or R, along with strong mathematical and statistical skills. The position offers the possibility of remote work for the right fit.

Qualifications

• Master’s degree or bachelor’s degree and equivalent experience in a quantitative field.
• Proficiency in Python or R along with SQL for database querying.
• Strong foundation in linear algebra, calculus, and statistical modeling.
• Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Responsibilities

• Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
• Gather data from various sources, then clean and prepare it for modeling.
• Design and implement algorithms and predictive models using machine learning techniques.
• Analyze datasets to uncover hidden patterns, trends, and anomalies.
• Translate technical findings into 'data stories' using tools like Tableau or Power BI.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Critical Thinking

Curiosity

Education

Master’s degree or equivalent experience in a quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Tableau

Power BI

Job description

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 bachelor’s 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.