Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytics team bridging advanced analytical capabilities with strategic business objectives.

This role focuses on designing building and deploying sophisticated machine learning models and AI solutions that drive student enrollment retention and success outcomes. The Senior Data Scientist partners with stakeholders to translate complex business challenges into actionable analytical frameworks and provides technical guidance to junior data scientists.

• Design build and maintain production-grade machine learning models that address critical business questions related to student enrollment retention and success.
• Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
• Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
• Develop scalable data pipelines and feature engineering processes to support model development and deployment.
• Drive innovation in applied AI and Generative AI (GenAI) solutions exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
• Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
• Translate business requirements into well-defined analytical problems with clear success metrics.
• Present complex analytical findings and model insights to non-technical audiences including executive stakeholders.
• Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
• Apply statistical methods to validate model performance and ensure analytical robustness.
• Document methodologies assumptions and limitations to maintain transparency and reproducibility.
• Stay current with emerging machine learning techniques and evaluate their applicability to organizational challenges.
• Support the growth of analytical capabilities across the organization through knowledge sharing.
• Performs other duties as assigned.
• Complies with all policies and standards.

Qualifications :

• Bachelors degree in an area such as Data Science Computer Science Statistics Mathematics or related field. Required. Masters degree preferred. 
• Five (5) plus years of experience in data science machine learning or advanced analytics roles. 
• Five (5) plus years of proven experience with production-level ML models data pipelines and/or applied AI. 
• Famililarity with cloud platforms (GCP BigQuery Vertex AI) AzureDevOps and reporting tool (Power BI Tableau).
• Experience delivering end-to-end data science solutions including data collection feature engineering model development deployment and integration into business workflows.
• Demonstrated success with agentic workflows and GenAI in data science product solutions
• Strong analytical skills with a foundation in statistical techniques (e.g. regression clustering classification Monte Carlo simulation).
• Excellent understanding of machine learning techniques and algorithms such as decision trees RF XGBoost LightGBM etc.
• Advanced skills in programming and coding data science toolkits and query languages (e.g. Python and SQL).
• Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.
• Knowledge and familiarity with Power BI Tableau or comparable reporting and visualization platforms.
• Advanced applied statistics skills such as distributions statistical testing regression etc.
• Track record of helping organizations to leverage analytics to achieve documented business improvement.
• Proven project management and people development skills.
• Superior written and verbal communication skills including influencing and consensus building. Ability to explain technical concepts to non-technical audiences.
• Ability to work in a dynamic and cross-functional environment where multiple conflicting objectives need to be prioritized and achieved.
• Ability to process ambiguous and/or seemingly conflicting data or information to create one version of the truth.

Additional Information :

In support of the pay transparency laws enacted across the country the expected salary range for this position is between $84835.61 and $149076.17. Actual pay will be adjusted based on job-related factors permitted by law such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Adtalem offers a robust suite of benefits including:

• Health dental vision life and disability insurance
• 401k Retirement Program 6% employer match
• Participation in Adtalems Flexible Time Off (FTO) Policy
• 12 Paid Holidays
  
  For more information related to our benefits please visit: are also eligible to participate in an annual incentive program subject to the rules governing the program whereby an award if any depends on various factors including without limitation individual and organizational performance.

Equal Opportunity Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Remote Work :

No

Employment Type :

Full-time