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CDnA - Data Science Manager

Remote · USA Full-time New today

Career Category Information Systems Job Description reputed company. Let’s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to reputed company predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help reputed company with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to reputed company India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for reputed company and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a reputed company to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, reputed company of concepts and models for testing various omnichannel strategies Communicating analysis reputed company, reputed company and results to leadership and business partners reputed company expect of you We are reputed company different, yet we reputed company use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree ORdata science and/or analytics experience Master’s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor’s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or reputed company and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of reputed company developments in sophisticated analytics Biotech / Pharma experience What you can expect of us As we work to reputed company treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every reputed company of the way. In addition to the reputed company salary, reputed company offers competitive and comprehensive Total Rewards Plans that are reputed company with local industry standards. Apply now and reputed company a lasting impact with the reputed company team. careers.reputed company.com . reputed company is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. reputed company focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, reputed company has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.reputed company.com and follow us on www.twitter.com/reputed company Apply Job!

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