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Senior Data Scientists

Capgemini
Pennsylvania, US, United Statesfull_timeVerifiedPosted 16 Nov 2023
💰 $145,000/yr($110,841/yr$145,000/yr)

About the role

Job Title: Senior Data Scientist
Job Location: Malvern, PA

Key Responsibilities:

  • Develop end to end Data Dev ML Ops pipelines based on in depth understanding of cloud platforms AI lifecycle and business problems to ensure analytics solutions are delivered efficiently predictably and sustainably.

  • Improve and maintain our automated CI/CD pipeline.

  • Build maintain data pipelines for analytics and assist data scientists with model evaluation and training includes versioning compliance and validation.

  • Continuously evaluate the latest packages and frameworks in the ML ecosystem.

  • Work with Product Owner and other Product Architect in building product technical roadmaps and architecture in alignment with business strategies and objectives.

  • Collaborate with the broader architecture community to ensure that their products align with target architectures and technology roadmaps and provides input on required platform capabilities and improving development tools processes.

  • Work with other product teams technology experts and business stakeholders to provide functional support.

  • Assist in the evaluation of vendors and products and participate in build vs buy discussions with the product teams.

  • Act as the highest level technical expert resolving issues and assessing any potential risks to determine solutions.

  • Provide technical guidance to product team as an appropriate perform feasibility analysis on potential future projects.

  • Assist in development of and management architecture governance processes.

  • Prepare and present product related documentation.

Required Skills:

  • 5 to 7 years of experience in examining the data associated with digital fraud at financial institutions.

  • Master’s degree in data science or 10 years of data analysis experience.

  • Ability to pull link analyze and document data via code.

  • Ability to collaborate with multiple teams and think creatively on data linking solutions across data platforms.

  • Solid understanding of machine learning fundamental and bring deep expertise in cloud architecture DevOps to analyze and recommend enterprise grade solutions for operationalizing Artificial Intelligence Machine Learning analytics.

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:
Capgemini is 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 | 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

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Capgemini

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