Senior/Lead Data Scientist

We seek a highly skilled and motivated Data Scientist to join our team. As a Senior/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.

About the Customer

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.

Requirements

• Proven experience as a Data Scientist 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
• Proficiency in programming languages such as Python or R 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

And at least one of the points in the experience:

• Hands-on production experience with MLOps in Databricks, particularly in Model Registration and Evaluation workflows
• Competency in Anthropic’s Model Context Protocol, Azure AI Agent Service, or Dapr
• Expertise in building AI Agents and integrating them into advanced reasoning models to solve complex business challenges
• AI “Platform” skills, including implementing constraints, monitoring, automated testing, and optimizing AI systems for reliability and scalability

Nice to have

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
• Experience applying Generative AI and traditional AI techniques to optimize processes and solve complex business problems
• Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders

English level

Upper-Intermediate

Responsibilities

• 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