Data Scientist

Remote, REMOTE, United States

Applications have closed

Adtalem Global Education

Adtalem Global Education is a workforce solutions provider that focuses on diversity and empowering individuals.

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Company Description

About Adtalem Global Education

Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world.

Adtalem was named one of America’s Most Responsible Companies in 2021 and 2023 by Newsweek and Statista, and one of America’s Best Employers for Diversity in 2021 and 2022 by Forbes and Statista. Adtalem’s family of institutions has more than 300,000 alumni and 10,000 employees. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

Visit Adtalem.com for more information, and follow on Twitter and LinkedIn.
 

Job Description

Opportunity at a Glance
The Data Scientist is a part of the Data Analytics and AI department and plays a key role in building and maintaining machine learning models, 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 science analyst 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

  • MBA in an area such as Operations, Econometrics, or Statistics Required or advanced degree in an area such as Data Science Operations, Econometrics, or Statistics Required and
  • Management consulting/professional service experience Preferred
  • 2+ years of advanced analytics/machine learning work experience, Preferred 
  • Experience with data visualization tools, such as D3.js, GGplot, etc. Required
  • 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 k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Excellence in one of the data science toolkits, such as Python, SPSS, and R.
  • Must have proficiency in using query languages such as SQL.
  • Must have experience with databases, such as SQL Server, Oracle, Snowflake.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $71907.00 and $130001.00. 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 Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays

    For more information related to our benefits please visit: https://careers.adtalem.com/benefits.

    You 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.

 

We are proud to be an EEO employer M/F/D/V. At Adtalem, we welcome everyone and have a strong commitment towards diversity and inclusion. We encourage our Colleagues to be their true authentic selves and support laws that prohibit discrimination everywhere we do business. We also maintain a drug-free workplace.

Tags: Consulting D3 Data Analytics Data Mining Data visualization Econometrics Machine Learning ML models Oracle Python R Snowflake SPSS SQL Statistics Testing

Perks/benefits: 401(k) matching Career development Flex vacation Health care Insurance

Regions: Remote/Anywhere North America
Country: United States
Job stats:  341  101  1
Category: Data Science Jobs

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