Demo

Summer College Intern-IT Data Scientist

NYC Department of Social Services
Queens, NY Intern
POSTED ON 3/5/2025
AVAILABLE BEFORE 4/3/2025
The New York City Department of Correction (DOC) is an integral part of the City’s evolving criminal justice system, participating in reform initiatives and strategies aimed to move the City towards a smaller jail system without compromising public safety. The DOC is responsible for maintaining a safe and secure environment for our employees, visitors, volunteers, and people in our custody. Importantly, safe jails enable DOC to provide people in custody with the tools and opportunities they need to successfully re-enter their communities. The DOC operates facilities and court commands across the five boroughs with more than 7,500 diverse professionals and knowledgeable experts.

We are seeking a highly analytical and detail-oriented Data Scientist to help extract insights from large datasets and drive data-driven decision-making. The ideal candidate should have expertise in statistical analysis, machine learning, and data visualization, with a strong understanding of business applications.

Key Responsibilities:

  • Collect, clean, and preprocess large datasets for analysis.
  • Develop predictive models and machine learning algorithms to solve business problems.
  • Conduct statistical analysis and hypothesis testing to support decision-making.
  • Visualize data and insights using tools like Tableau, Power BI, or Matplotlib.
  • Collaborate with engineering and product teams to implement data-driven solutions.
  • Optimize data pipelines and ETL processes for scalability and efficiency.
  • Stay updated with industry trends and advancements in AI/ML technologies.
  • Communicate findings and recommendations to stakeholders in a clear, actionable manner.

Preferred Skills

  • -Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
  • -2 years of experience in data science or analytics.
  • Experience with Big Data tools such as Spark or Hadoop.
  • Proficiency in Python or R for data analysis and machine learning.
  • Experience with SQL and NoSQL databases.
  • Strong understanding of machine learning techniques (e.g., regression, classification, clustering).
  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Experience with deep learning frameworks like TensorFlow or PyTorch is a plus.
  • Excellent problem-solving skills and the ability to work with unstructured data.
  • Strong communication skills for presenting data-driven insights to non-technical stakeholders.

Good to have;

  • Knowledge of A/B testing and experimentation methods.

SUMMER COLLEGE INTERN - 10234

Minimum Qualifications

As of June of the Program year the prospective interne must be a student matriculated in a college or be a recent college graduate (winter/spring term of the Program year).

NOTE: Appointment to this title is only valid for the duration of the Program, June - August each year.

Public Service Loan Forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

Residency Requirement

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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