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Data Scientist (Entry Level)

NC State University
Raleigh, NC Full Time
POSTED ON 3/29/2025
AVAILABLE BEFORE 4/4/2025

Job Details

Posting Details

Posting Information

Posting Number
PG193993EP

Internal Recruitment
No

Working Title
Data Scientist (Entry Level)

Anticipated Hiring Range
Commensurate with education and experience (anticipated hiring range $75,000 - $85,000)

Work Schedule
Monday - Friday, 8:00 am - 5:00 pm. This position may be eligible for hybrid remote work and/or flexible work arrangements but is not eligible to be fully remote.

Job Location
Raleigh, NC

Department
Institutional Strategy & Analysis

About the Department

As NC State's central office and authoritative source for institutional reporting and analytics, Institutional Strategy and Analysis (ISA) supports the university's strategic decisions, planning activities, operations, evaluation efforts, and accountability by providing consistent, reliable information and analysis to university leaders, administrators, faculty and staff, students, external stakeholders, and the public.

In carrying out its mission, ISA:
  • Collects, analyzes, interprets, models, and reports information about NC State
  • Manages institutional strategic planning, including implementation planning and metrics for the university strategic plan
  • Provides leadership in governance and strategy with respect to the university's academic and administrative data
  • Administers, analyzes, supports, and oversees institutional surveys
  • Supports, administers, and maintains applicable data structures, applications, and systems

Essential Job Duties

The Data Scientist (Entry Level) plays an important role in advancing NC State's data and analytics capabilities. Applying advanced analytical and statistical techniques, methods, and tools, this role will help develop and implement predictive models and other sophisticated analytics solutions. Working on the Data Science team within Institutional Strategy and Analysis's (ISA's) University Data and Analytics (UDA) unit, this role is a member of a specialized team dedicated to building and delivering analytical products and services that provide actionable insights, drive strategic decision-making, and enhance overall institutional effectiveness.

Other Responsibilities

Specific duties of the position include but are not limited to:
  • Collaborate with other data scientists, analysts, and developers to collect, process, and analyze complex datasets.
  • Develop and implement statistical models and machine learning algorithms.
  • Create clear data visualizations and reports to communicate findings.
  • Maintain organized documentation of analyses and methodologies.
  • Support the development and optimization of data collection procedures.
  • Perform related duties as assigned or required to meet UDA, ISA, or university goals and objectives.

Qualifications

Minimum Education and Experience
  • Bachelor's degree or Master's degree in Data Science, Statistics, Computer Science, or related field; or an equivalent combination of education, training and relevant experience.

Other Required Qualifications
  • Strong programming skills in Python and SQL
  • Experience with statistical analysis and machine learning frameworks
  • Excellent problem-solving abilities and attention to detail
  • Strong written and verbal communication skills
  • Experience with data visualization tools (e.g., Tableau, PowerBI)
  • Ability to work both independently and as part of a team
  • Experience with time series analysis, forecasting, and regression analysis

Preferred Qualifications
  • Experience with academic research projects or internships
  • Familiarity with version control systems (e.g., Git)
  • Knowledge of SQL and relational database management
  • Experience with pandas, NumPy, and scikit-learn libraries
  • Knowledge of Docker containers and basic DevOps practices
  • Familiarity with Agile development methodologies
  • Basic understanding of big data technologies (Spark, Hadoop)

Required License(s) or Certification(s)

N/A

Valid NC Driver's License required
No

Commercial Driver's License required
No

Recruitment Dates and Special Instructions

Job Open Date
03/21/2025

Anticipated Close Date
04/04/2025

Special Instructions to Applicants

Along with your application, please attach your resume, cover letter, and contact information for at least three professional references.

Position Details

Position Number
00111339

Position Type
EPS/SAAO

Full Time Equivalent (FTE) (1.0 = 40 hours/week)
1.0

Appointment
12 Month Recurring

Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather

Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event

Department ID
022201 - Institutional Strategy & Analysis (ISA)

AA/EEO

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact to speak with a representative at the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at or .

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $75,000 - $85,000

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