Data Scientist II

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    "description": "<p><strong>JOB SUMMARY </strong></p>\n\n<p><span style=\"font-size:10pt;\"><span style=\"font-family:'Noto Sans', sans-serif;\"><span style=\"color:#000000;\">The Data Scientist II will drive critical business impacts and play a key role to drive end-to-end data solutions for the business. This role requires that the employee understand business requirements, explore a large amount of historical data, and build machine learning predictive models to evaluate products and programs as well as identify areas of opportunity. The Data Scientist II will collaborate closely with engineering peers, developers, data architects as well as business stakeholders. This role requires an individual to work both independently and collaboratively.</span></span></span></p>\n\n<p><span style=\"font-size:10pt;\"><span style=\"font-family:'Noto Sans', sans-serif;\"><span style=\"color:#000000;\">Outcomes is dedicated to being a data-driven business. The Data Scientist II role will play a key </span></span></span><span style=\"font-size:10pt;\"><span style=\"font-family:'Noto Sans', sans-serif;\"><span style=\"color:#000000;\">role in creating mature ROI analyses used by the business to create, run and deliver on programs </span></span></span><span style=\"font-size:10pt;\"><span style=\"font-family:'Noto Sans', sans-serif;\"><span style=\"color:#000000;\">across the business.</span></span></span></p>\n\n<p><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\">ESSENTIAL DUTIES &amp; RESPONSIBILITIES</span></span></strong></p>\n\n<ul>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Act as a subject matter expert in the design and recommendation of analytical methodologies and approaches, implement analytics </span></span></span></li>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Build Machine Learning models to generate business value. Models should align with priorities from the business related to, but not limited to:</span></span></span>\n\t<ul>\n\t\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">CMR Lever logic, preferences, and patterns</span></span></span></li>\n\t\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">New Data Product discovery initiatives (OTC, data products, etc.)</span></span></span></li>\n\t\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Thought Leadership metrics and presentations</span></span></span></li>\n\t\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Pharma pre-sales and program design</span></span></span></li>\n\t</ul>\n\t</li>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Identify business need and issues using SQL and languages like R, Python, and internal dashboards to drive short term fixes and long-term improvements</span></span></span></li>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Transform technical outcomes</span></span></span><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"> and results into<span style=\"color:#000000;\"> simple storylines to explain the solution to the business leads</span></span></span></li>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Conduct maintenance, debug, unit-test, integration test, and document analytic and modeling processes</span></span></span></li>\n\t<li><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"color:#000000;\">Support the data-led initiative by producing meaningful analyses to aid sales teams</span></span></span></li>\n</ul>",
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