
Lead Data Scientist
1 week ago
We are searching for a Lead Data Scientist (AI/ML) passionate about solving real-world challenges in new ways. If you're driven by a curiosity to learn and a desire to produce meaningful results, please apply.
Why Join ExadelWe're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what's next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the ClientHeadquartered in New York, our client is the world's largest HR consulting firm. With 20,500+ employees across 130+ countries, they support 97% of the Fortune 500 with scalable workforce solutions.
What You'll Do- Lead the design and delivery of advanced AI/ML solutions for clients and internal initiatives, ensuring scalability, robustness, and business impact
- Develop, deploy, and maintain end-to-end machine learning models, ensuring reliability and performance
- Research emerging trends in AI/ML and Generative AI, integrating them into real-world applications
- Mentor and guide data scientists, fostering a culture of knowledge sharing, innovation, and continuous improvement
- Stay at the forefront of applied data science and AI, continuously exploring new methodologies and tools
- Partner with product managers, engineers, and business stakeholders to translate business needs into actionable AI-driven solutions
- 6+ years of experience in Data Science and Machine Learning
- Proven ability to initiate and lead Machine Learning projects from scratch - from problem analysis and data collection to Proof of Concept (PoC) and production deployment
- Strong expertise in Generative AI, including Retrieval-Augmented Generation (RAG) applications and Prompt Engineering
- Proficiency in Python, along with key libraries such as Pandas, Scikit-learn, Matplotlib, and SQL
- Deep understanding of Machine Learning algorithms, their limitations, and best use cases
- Experience setting up MLOps pipelines for efficient model deployment and maintenance
- Business-oriented mindset, with the ability to identify opportunities for leveraging data science to drive business value
- Strong storytelling skills - capable of transforming complex data into actionable insights with compelling visualizations
- Excellent communication skills, with the ability to engage directly with clients, understand their needs, and present solutions effectively
- MS or BS in Computer Science, Data Science, or a related field
- Experience with Deep Learning frameworks such as PyTorch or TensorFlow
- Familiarity with microservice architectures, task queues (e.g., Celery), cloud platforms (AWS, Azure), Docker, and networking basics
- Strong portfolio on GitHub or Kaggle, showcasing hands-on AI/ML projects
Upper-Intermediate
Legal & Hiring Information- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
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