Data Scientist
Data Scientist
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Job Description
Opportunity at a Glance
The Data Scientist is a part of the CDX Advanced Analytics team Analytics Center of Excellence and plays a key role in building and maintaining machine learning models and AI solutions. The Data Scientist works to understand business needs and assess how they can be met through specific analyses. This role will be intricately involved in running machine learning experiments in a methodical manner and evaluating alternate models in areas that help maximize the success of students enrolled into many programs offered under various Adtalem brands.
Responsibilities
- Selects and manages features builds and optimizes classifiers using machine learning techniques.
- Performs data mining using state-of-the-art methods.
- Leverages third party sources of information to enhance data models.
- Analyzes the integrity of data used for analysis and models.
- Supports the Senior Data Scientist in identifying analytic needs and requirements of the institutions; projects may include: root cause/regression analyses; benchmarking and best practice identification; financial and business impact of key initiatives and new ideas and external market analyses.
- Works within cross-functional and cross-institution project teams to solve business problems.
- Translates analytic findings into simple actionable and practical solutions and recommendations.
- Synthesizes recommendations into management-ready presentations with recommended actions.
- Completes other duties as assigned.
- Performs other duties as assigned
- Complies with all policies and standards
Qualifications :
- BS or MS Degree in Data Science Computer Science Engineering Information Technology or related technical field.
- Management consulting/professional service experience
- Advanced analytics/machine learning work experience.
- Experience with agentic workflows and GenAI in Data Science product solutions.
- Strong data-orientation with the ability to process ambiguous and/or seemingly conflicting data or information to create one version of the truth.
- Ability to work in a dynamic and cross-functional environment where multiple conflicting objectives need to be prioritized and achieved.
- Superior written and verbal communication skills including influencing and consensus building.
- Excellent understanding of machine learning techniques and algorithms such as Decision Trees RF XGBoost LightGBM etc.
- Excellence in one of the data science toolkits such as Python or R.
- Must have proficiency in using query languages such as SQL.
- Experience with data analysis tools and platforms such as GCP Big Query SQL Server PowerBI ect
- Experience in in pricing modeling revenue optimization or other similar analytical use cases is highly preferred.
- Good applied statistics skills such as distributions statistical testing regression etc.
- Good scripting and programming skills.
- Collaborative coding experience and competency with Git
Additional Information :
In support of the pay transparency laws enacted across the country the expected salary range for this position is between $74064.94 and $130001.91. 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
Employment Type
Full-time
