Job Description

Please see Special Instructions for more details. Along with your application, please attach your resume, cover letter, and contact information for at least three professional references. Posting Information Posting Number: PG193993EP 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. 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. 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. 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. Recruitment Dates and Special Instructions: Job Open Date: 03/21/2025 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. #J-18808-Ljbffr NC State University

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