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. Responsible and diverse group of 340,000 team members in more than 50 countries Strong over 55-year heritage Trusted by clients to unlock the value of technology to address the entire breadth of their business needs Delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering Market leading capabilities in AI, generative AI, cloud and data Deep industry expertise and partner ecosystem
Lead Data Scientist
Location
United States + 1 moreAll locations: United States, India
Posted
1 day ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
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.
Qualifications
- 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.
Benefits
- 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.
Job Requirements
- 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.
Benefits
- 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.
