Data Scientist

<span><span><span><span><span><span><span><span><span><span><span><span><strong>Position Summary: </strong></span></span></span></span></span></span></span></span></span></span></span></span><br><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>MedReview is looking for a talented and experienced <strong>Data Scientist</strong> 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. </span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><strong>This position will sit in Austin, Texas. However, for the right fit, we may consider remote</strong>. </span><br><br><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><b><span><span><span><span>Responsibilities:</span></span></span></span></b></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><ul><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Problem Identification:</span></span></span></span></b><span><span><span><span> Collaborate with stakeholders to identify business challenges that can be solved through data analysis.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Data Collection & Preparation:</span></span></span></span></b><span><span><span><span> Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Model Development:</span></span></span></span></b><span><span><span><span> Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Exploratory Data Analysis (EDA):</span></span></span></span></b><span><span><span><span> Analyze datasets to uncover hidden patterns, trends, and anomalies.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Communication & Visualization:</span></span></span></span></b><span><span><span><span> Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. </span></span></span></span></span></span></span></span></span></span></span></li></ul><font color="#0a0a0a"><font face="Roboto"><font><span><span><b>Qualifications: </b></span></span></font></font></font><ul><li class="x"><span><span><span><span><span><span><span><span><span><span>Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)</span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Programming:</span></span></span></span></b><span><span><span><span> Proficiency in Python or R  along with SQL for database querying.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Mathematics & Statistics:</span></span></span></span></b><span><span><span><span> Strong foundation in linear algebra, calculus, and statistical modeling.</span></span></span></span></span></span></span></span></span></span></span></li><li class="x"><span><span><span><span><span><span><span><b><span><span><span><span>Machine Learning:</span></span></span></span></b><span><span><span><span> Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.</span></span></span></span></span></span></span></span></span></span></span></li></ul><div class="x"><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><b><span><span><span><span>Soft Skills:</span></span></span></span></b><span><span><span><span> Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></div>