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Data Scientist_april

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: V15P1Talonnn
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 30000 - 40000 USD Yearly USD 30000.00 40000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data

Management Chicago, IL, US

30+ days ago Requisition

Salary Range: $30,000.00 To $40,000.00 Annually

About Company:

Who We Are

At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work.

For over 70 years, we’ve led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune® World's Most Admired Companies™ list again for 17 consecutive years*.

We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR , payroll , talent , time , tax and benefits administration , and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage.

As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of experience in data science or a related field
  • Strong programming skills in R and Python
  • Experience with machine learning techniques such as random forest, neural networks, and logistic regression
  • Experience with statistical analysis and experimental design

Preferred Qualifications:

  • Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
  • Experience with big data technologies such as Apache Spark
  • Experience with deep learning frameworks such as Tensor Flow
  • Experience with clustering techniques
  • Experience with data visualization tools

Responsibilities:

  • Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models
  • Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance
  • Design and implement experiments to test hypotheses and validate models
  • Communicate findings and recommendations to stakeholders in a clear and concise manner
  • Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities

Skills:

As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as Tensor Flow.

You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.

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