Lead Data Scientist (AI)

We seek a highly skilled and motivated Data Scientist to join our team. As a Lead Data Scientist, you will work closely with business data experts to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. The ideal candidate will have experience using Databricks for data science work and possess a solid background in both Generative AI and traditional AI techniques.

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  

The world's largest human resources consulting firm is headquartered in New York City, with its main branches in 40+ countries. Over 20,500 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies.

What You’ll Do

• Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth
• Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets
• Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications
• Conduct exploratory data analysis to identify patterns, trends, and correlations in the data and communicate findings to both technical and non-technical stakeholders
• Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges
• Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement

What You Bring

• 6+ years of experience in Data Science with a track record of delivering impactful data-driven solutions
• Knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling
• Experience applying Generative AI and traditional AI techniques to optimize processes and solve complex business problems
• Proficiency in programming languages such as Python and JavaScript and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn)
• Expertise in using Databricks for data science workflows, including data preprocessing, feature engineering, model training, and evaluation
• Experience working in a collaborative, cross-functional team environment is highly desirable
• Excellent communication skills, with the ability to engage directly with clients, understand their needs, and present solutions effectively

Nice to have

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or a related field

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.

• International projects
• In-office, hybrid or remote mode
• Medical healthcare
• Recognition program
• Professional & personal development opportunities
• Foreign languages classes
• Well-being program
• Corporate events
• Sports compensation
• Referral program
• Equipment provision
• Paid vacation & sick days