Senior Data & Ai Engineer - Senior Data Scientist

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 Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. 

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day 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 | www.capgemini.com

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 reach out to 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

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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.

Job Role:

You will lead the development of innovative data-driven software solutions to help our clients overcome their science and engineering challenges. You will work predominantly with consumer products clients. Our work in the consumer product sector varies, from modeling experiment outcomes, shelf life modeling, to optimizing manufacturing processes.

Key Responsibilities:

Projects can span a range of activities, and we are looking for you to bring the following to the role:

• Engage with clients to understand their challenges and opportunities and develop creative and innovative approaches.
• Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining, natural language processing (NLP), data mining, pathway/network analysis.
• Support new software development tools and applications as required for project delivery.
• Lead and mentor analytics teams!

Required Skills:

• 5 years professional experience as a Data Scientist from Consumer Goods industry!
• An understanding of how complex data is interpreted using a variety of analytical, statistical or machine learning techniques.
• Exposure to computational modeling, algorithm development or software engineering in languages such as Python, R, Matlab, C# or C .
• Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds.
• The desire and ability to lead, inspire and develop junior Data Scientists and software engineers.
• Excellent interpersonal & communication skills.

Good To Have:

• Project management and/or business analysis experience or qualifications.
• Any experience in software engineering with an analytics or data driven focus.