Offer summary

Qualifications:

5+ years of experience in Data Science and Machine Learning., Proficiency in Python and key libraries like Pandas, Scikit-learn, and SQL., Strong expertise in Generative AI, including RAG applications and Prompt Engineering., Deep understanding of Machine Learning algorithms and MLOps pipelines..

Key responsibilities:

Develop and deploy end-to-end machine learning models for clients and internal projects.

Research emerging AI/ML trends and integrate them into applications.

Mentor team members and promote a collaborative environment.

Engage with clients to understand their needs and present data-driven solutions.

Job description

We are searching for a Senior Data Scientist 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 Exadel

We’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 Client

Headquartered 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

Identify and implement cutting-edge AI/ML solutions to benefit clients and internal projects
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
Share knowledge and mentor team members, fostering a collaborative and growth-oriented environment
Stay at the forefront of applied data science and AI, continuously exploring new methodologies and tools

What You Bring

5+ 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

Nice to Have

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

English level

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

Advantages of Working with Exadel

Exadel is a global company, and benefits can vary depending on your location and contract type. Your recruiter will provide specific information about the benefits available to you.