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Capgemini

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Lead Data Science

Data ScientistData ScientistOtherRemoteTeam 10,001+Since 1967H1B SponsorCompany SiteLinkedIn

Location

United States + 1 moreAll locations: United States | India

Posted

93 days ago

Salary

0

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Job Description

Lead Data Science

Capgemini

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role - Lead end-to-end AI and Machine Learning initiatives, starting from business problem understanding, data exploration, model development, validation, and final deployment in production environments. - Provide technical leadership to the data science team by reviewing models, guiding architecture decisions, ensuring best practices, and aligning solutions with business objectives. - Design and develop advanced analytics solutions including predictive modeling, NLP applications, clustering, recommendation systems, graph analytics, and optimization techniques to solve complex industry problems. - Build scalable ML pipelines, implement MLOps practices, ensure data security and compliance, and deploy solutions on cloud platforms such as AWS, Azure, or GCP. Your Profile - Around 10+ years of strong experience in Data Science, Machine Learning, and AI solution delivery with proven expertise in handling large-scale projects. - Strong technical proficiency in Python, SQL, ML/DL frameworks (Scikit-Learn, TensorFlow, PyTorch), Big Data tools like Spark, and experience working with cloud environments. - Solid understanding of advanced concepts such as NLP (including Transformers and LLMs), unsupervised learning, graph algorithms, optimization methods, and statistical modeling techniques. - Demonstrated leadership ability with experience in Agile environments, proposal and RFP preparation, POC/MVP development, stakeholder management, and high-impact client communication. What you will love about working here - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. 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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role can be remote or based out of our Philadelphia, PA headquarters. The Director, Clinical Scientist plays a key role in supporting the clinical development of the company’s CAR-T cell therapy programs in autoimmune diseases. This individual contributes to the scientific and clinical integrity of trials from early proof-of-concept through late-stage pivotal studies, working closely with Clinical Operations, Translational Medicine, Regulatory, and Biostatistics to help ensure high-quality data and alignment toward a successful BLA submission. 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