Data Science Senior Analyst

With more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Detroit, MI

Blue Cross Blue Shield of Michigan

When you think of <a href="" target="_blank" rel="noopener noreferrer">Blue Cross Blue Shield of Michigan</a> for health insurance, you can know you&rsquo;re getting much more. We're a company founded on a tradition of affordable, quality health care for everyone, improving the present and investing in the future.<br /><br />We offer:<br />Plans for employers and individuals that meet today&rsquo;s needs, budgets and lifestyle<br />The largest network of doctors and hospitals in the state<br />Lower health care costs Higher quality health care<br />Award-winning diversity practices<br />Grants and programs that promote better health throughout Michigan<br /><strong><br />Mission:&nbsp;</strong>We commit to being our members&rsquo; trusted partner by providing affordable, innovative products that improve their care and health.<br /><br /><a href="" target="_blank" rel="noopener noreferrer"><strong>Click here</strong></a> to learn more about our commitment to our Social Mission, view company updates and reviews, and view our awards &amp; accolades.<br /><br />Learn more about your options as an external candidate. <a href="" target="_blank" rel="noopener noreferrer">Click here</a> to view open positions.

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Competitive Total Compensation Package

Overview: Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models. Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within Blue Cross Blue Shield of Michigan (BCBSM) and its subsidiaries
Responsibilities: <ul><li>Formulate mathematical framework and business case hypotheses from identified problem statements.</li><li>Design, develop, and implement advanced analytics through exploratory data analysis, machine learning and various algorithm development.</li><li>Perform data querying and manipulation of structured and unstructured data sets, including large data sets using the appropriate big data technologies.</li><li>Identify and analyze internal data from disparate sources to support modeling efforts and hypothesis testing.</li><li>Document and communicate opportunities for improvement identified in the data, such as scalability or quality concerns.</li><li>Identify and analyze data patterns that generates insights for decisions that will optimize business objectives.</li><li>Produce statistical analyses, statistical learning models and data visualizations.</li><li>Present recommended insights to direct team members, leadership and cross-functional teams to ensure models are well understood.</li><li>Work on concurrent projects of varying size and scope, adhering to timelines and objectives.</li><li>Train, mentor, recommend alternative solutions to problem solving and provide review feedback to direct team members on project objectives, quality, etc. </li></ul>
Requirements: <ul><li>Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering Computer Science, Operations Research or related field is required. Master’s degree or PHD in related field is preferred. </li><li>A minimum of four (4) years of related work experience is required. </li><li>Previous experience programming (2 or more languages) is required. </li><li>Previous experience working in the healthcare industry is preferred. </li><li>Intermediate knowledge of big data (i.e. Map/Reduce, YARN, HDFS, etc.), query building (i.e. PL/SQL, HIVE, Impala, Spark, etc.), programming (i.e. R, Python, C, Java, Ruby, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.). </li><li>Intermediate statistics modeling skills (i.e. linear and non-linear regression, neural networks, logistic regression, decision trees, gradient boosting machines, support vector machines, random forests, etc.) </li><li>Intermediate statistical testing techniques (i.e. ANOVA t-tests, chi-squared, etc.) </li><li>Intermediate skills in Microsoft Access, Word, PowerPoint and Excel. </li><li>Strong analytical, organizational and problem-solving skills. </li><li>Ability to effectively interface and present to management at all levels of the organization. </li><li>Ability to work independently and in a team environment. </li></ul>