Data Scientist (Analytics Center of Excellence)

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 (Hybrid)

Blue Cross Blue Shield of Michigan

When you think of <a href="https://www.bcbsm.com/" 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.&nbsp;<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="http://www.bcbsm.com/index/about-us/our-company.html" 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 />For Application Timeline &amp; Selection Process:&nbsp;<a href="https://s3.amazonaws.com/data.vizirecruiter.com/Images/BCBSMCareers+-+Quick+Reference+Guide.pdf" target="_blank" rel="noopener noreferrer">Click Here</a>. Learn more about your options as an external candidate. <a href="https://ejko.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3/requisitions" target="_blank" title="BCBSM" rel="noopener noreferrer">Click here</a> to view open positions. http://www.bcbsm.com

keywords: position summary,project management,leadership,mentorship,teamwork,education,experience,skills,knowledge

Mid-level Manager

Competitive Total Compensation Package

Overview: We have an exciting&nbsp;<strong>Data Scientist&nbsp;</strong>opportunity available<strong>&nbsp;</strong>in&nbsp;our Analytics Center of Excellence &ndash; the power hub of analytics for Blue Cross Blue Shield of Michigan (BCBSM)!&nbsp;<br /><br />You will be working with various verticals within organization (e.g., actuaries, marketing, commercial, government and retail business etc.)&nbsp;to solve important business problems to provide a quality and affordable healthcare solutions for our customers and members.<br /><br />Please Note: Hybrid work structure, which requires working minimum 1-day per week on-site at our downtown Detroit office (we provide free parking that is within covered structure connected directly to our building).
Responsibilities: <ul> <li>Own/manage lifecycle of the &lsquo;data product&rsquo; in collaboration with functional teams &ndash; define the problem, identify/integrate&nbsp;appropriate data sources, iteratively build analytics engine aligning with business goal, operationalize it, and when&nbsp;appropriate retire it.&nbsp; &nbsp;&nbsp;</li> <li>Lead discussions with business stakeholders to crisply define what is often a vaguely articulated problem,&nbsp;assist them selecting solution approaches based on the ACOE (Analytics Center of Excellence) recommended analytics approaches considering pros/cons.&nbsp;</li> <li>Work closely with ACOE engineering and Enterprise IT (Information Technology) teams to build and implement advanced analytics solutions in production system(s).&nbsp;&nbsp;</li> <li>Manage junior data scientists within ACOE, providing project level oversight, technical&nbsp;expertise to contribute to successful project outcomes.&nbsp;</li> <li>Provide mentorship and guidance to junior data scientists, fostering a nurturing environment for career growth.</li> </ul>
Requirements: <ul> <li>Bachelor&rsquo;s&nbsp;degree in Computer Science, Statistics, Economics, Engineering, Operations Research, Data Science, Artificial&nbsp;Intelligence&nbsp;or&nbsp;related field is&nbsp;required. Master&rsquo;s degree or PhD in related field is preferred.&nbsp;</li> <li>A minimum of six (6) years of related work experience is&nbsp;required.&nbsp;</li> <li>Previous&nbsp;experience programming (2 or more languages, including python) is&nbsp;required.&nbsp;</li> <li>Previous&nbsp;experience working in the healthcare and/or consulting industry is preferred. &nbsp;</li> <li>Advanced knowledge of big data platforms (i.e., Map/Reduce, YARN, HDFS, etc.), query building (i.e. PL/SQL, HIVE, Impala,&nbsp;SparkSQL, etc.), parallel compute&nbsp;frameworks, programming (i.e. R, Python, C, Java, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.).&nbsp;</li> <li>Advanced statistical 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>Strong knowledge of statistical testing techniques (i.e., odds-ratios, t-tests, chi-squared, ANOVA, etc.).&nbsp;</li> <li>Experience with code version control systems (e.g., git/GitHub) is&nbsp;required.&nbsp;</li> <li>Intermediate skills in Microsoft Access, Word,&nbsp;PowerPoint, and Excel.&nbsp;</li> <li>Strong analytical,&nbsp;organizational, and problem-solving skills.&nbsp;</li> <li>Experience in managing multiple data-science/analytics projects and leading discussions with business stakeholders.&nbsp;</li> <li>Previous&nbsp;experience of building data products is preferred.&nbsp;</li> <li>Demonstrable experience of elegantly applying mathematical/algorithmic concepts to solve real-world problems, e.g., greedy algorithm to solve scheduling problem&nbsp;etc.&nbsp; &nbsp;&nbsp;</li> <li>Experience with Databricks platform is preferred.&nbsp;</li> <li>Advanced written and verbal communication skills.&nbsp;</li> </ul> <br /><em>All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.</em>