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Data Scientist

Austin, TX

Full Time

Mid Level

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Position Summary

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

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