Capgemini

The practice’s core focus areas are commercial and digital transformation, innovation, business agility, patient services, and patient experience.. As part of the Capgemini Invent team, the Managing Data Scientist/Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.. Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI. Deep knowledge (5+ years) in the analysis of healthcare/life sciences data – specifically longitudinal claims/clinical data from one or more of the following: IQVIA (e.g., LAAD), Symphony Health (APLD), Merative/IBM MarketScan, Optum Health data.. Experience with Microsoft Power BI, Tableau, Qlikview/Qliksense, D3.

data scientist

Description:
As the digital innovation, consulting, and transformation brand of the Capgemini Group, Capgemini Invent helps CxOs envision and build what’s next for their organizations. Located in more than 30 offices and 10 creative studios around the world, its 6,000+ strong team combines strategy, technology, data science, and creative design with deep industry expertise and insights, to develop new digital solutions and business models of the future.
Capgemini Invent is an integral part of Capgemini, a global leader in consulting, technology services and digital transformation. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 270,000 team members in over 40 countries. The Group reported 2019 global revenues of EUR 14.125 billion.
Life Sciences Practice Overview
The Life Sciences industry is undergoing spectacular changes, impacted by patent expirations, patient empowerment, increased regulatory scrutiny, and cost containment. While the industry continues to lower costs and consolidate, it is seeking new growth opportunities through innovation, diversification, and expansion in emerging markets. Capgemini Invent’s Life Sciences practice has partnered with leading pharmaceutical and biotechnology clients to help define and deliver their future state for more than 25 years. The dedicated team guides clients from strategy to execution across the value chain. The practice’s core focus areas are commercial and digital transformation, innovation, business agility, patient services, and patient experience. Skilled across the product lifecycle, the team brings deep experience in early commercialization, product launch, brand growth, and lifecycle management. The team’s consultants help lead change and transform organizations. Leaders in digital transformation, the team has helped clients establish innovation incubators, develop digital medicine strategies, enhance patient experiences, and identify new revenue sources.
As part of the Capgemini Invent team, the Managing Data Scientist/Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources. You will participate in providing expert advice and guidance to businesses and organizations on how to use data and analytics to solve complex operational/business problems, remove product/service bottlenecks, transform supply chain/manufacturing processes, improve decision-making, and generate growth and innovation. You will do this by combining a deep subject matter expertise and inquisitive mindset to tackle complex topics at the intersection of operations, systems/engineering intelligence, and data science. Job Description, Summary:
· Lead and mentor data scientists within our Life Sciences practice
· Help identify data use cases from a functional and consulting perspectives.
· Collaborate with team members and stakeholders to understand business contexts and create data-driven solutions
· Participate in the entire data solution process including data gathering and analysis, literature reviews, modeling, and training, creating simulations, developing, and maintaining production data applications Qualifications: Necessary skills & other requirements:
· Completed an advanced degree (or comparative experience) in data science, health economics, systems engineering, computer science, mathematics, statistics, or another analytical field of study
· Experience leading a team of data scientists
· Understanding of statistics, probability, and advanced analytics modeling
· Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI
· Strong experience with Python and data manipulation tools including SQL, R, Pandas, NumPy, SciPy, Matplotlib, scikit-learn, Jupiter notebooks
· Deep knowledge (5+ years) in the analysis of healthcare/life sciences data – specifically longitudinal claims/clinical data from one or more of the following: IQVIA (e.g., LAAD), Symphony Health (APLD), Merative/IBM MarketScan, Optum Health data.
· Experience training and maintaining models using real world data
· Comfortable in an environment with unstructured, incomplete, and ambiguous data
· Strong analytical skills
· Team player, able to integrate in an international and multidisciplinary team.
· Strong skills in coaching/mentoring junior data scientists
· Confident use with Office tools, in particular Excel and PowerPoint.
· Ability to work independently and organize analytical tasks as a team lead.
· Ability to thrive in a fast-moving and constantly evolving high growth environment
· Curious, open-minded, and driven to solve complex problems
· Experience with Microsoft Power BI, Tableau, Qlikview/Qliksense, D3.js (or like packages) a plus
· Experience in the pharmaceutical / life sciences industry Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief
About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.
Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.
Get The Future You Want
Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. #J-18808-Ljbffr

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