SeniorLead Data Scientist
SeniorLead Data Scientist
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Job Description
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 datadriven 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 worlds largest human resources consulting firm is headquartered in New York City with its main branches in 40 countries. Over 20500 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 datadriven 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 scikitlearn)
- Expertise in using Databricks for data science workflows including data preprocessing feature engineering model training and evaluation
- Experience working in a collaborative crossfunctional team environment is highly desirable
And at least one of the points in the experience:
- Handson production experience with MLOps in Databricks particularly in Model Registration and Evaluation workflows
- Competency in Anthropics 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
- Bachelors or Masters 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
UpperIntermediate
Responsibilities
- Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decisionmaking 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 nontechnical 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
Employment Type
Full Time
