Senior Data Scientist

Capgemini; New York (NY); Hybrid; USD 110,000 - 145,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll leverage your extensive experience in machine learning and data science to drive impactful AI solutions. You'll work with a collaborative team to develop scalable ML/AI applications, mentor junior members, and align projects with business goals. This role offers the chance to innovate using cutting-edge technologies like Generative AI and NLP, all while enjoying a supportive work environment that prioritizes your well-being and professional growth. Embrace the opportunity to shape the future of technology and make a difference in the world.

Benefits

Healthcare including dental and vision

401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Adoption assistance and surrogacy

Subsidized back-up child/elder care

Mentoring and coaching programs

Employee Resource Groups

Disaster Relief

Qualifications

• 15+ years of experience in developing and deploying machine learning solutions.
• Hands-on expertise in MLOps and solution architecture.

Responsibilities

• Architect and deploy scalable ML/AI solutions, including MLOps pipelines.
• Collaborate with stakeholders to align AI initiatives with business goals.

Skills

Python

SQL

PySpark

MLOps

Generative AI

NLP

Education

Bachelor's degree in Data, AI, ML

Tools

MLflow

Kubeflow

Docker

Kubernetes

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location - New York City NY (Day 1 onsite, hybrid)

Key Responsibilities

• We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions.
• The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments), solution architecture, and experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage.
• Strong skills in Python, SQL, PySpark, Generative AI (GenAI), and NLP are required.
• Architect and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.
• Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.
• Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
• scalable ML development and deployment
• Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members.

Required Skills

• Bachelors degree with 10-12 years of exp in Data, AI, ML
• MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
• Generative AI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.
• Data Engineering: Proficient in PySpark and distributed data processing.
• Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage

Mandatory Skills

• Expertise in data architecture, modeling (dimensional, relational, etc.), and cloud/on-prem hybrid environments.
• Strong in Python, PySpark; proficiency in SQL.
• Experience with entity resolution, data governance tools.
• Exposure to GenAI, ML, or LLM integration is a plus.
• Familiarity with financial products, GL data, or finance operations preferred.

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:

• 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

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

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

When you join Capgemini, you don’t just start a new job. You become part of something bigger.

We bring together passionate, skilled people, a tech-driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology.

As a graduate or an experienced professional, you will be working with the world’s leading brands to enhance and transform the way they do business.