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Data Scientist at University of Pittsburgh

Data Scientist

University of Pittsburgh

Bloomfield, PAmid1 day ago

Full Timeonsite1-3Years
$98,115/year

Job Description

The Data Scientist role is a vital position focused on leveraging data to drive innovative solutions and inform strategic decision-making. In this mid-level, full-time remote position, you will collaborate with cross-functional teams to analyze complex datasets and uncover insights that will impact organizational growth and efficiency. Your day-to-day work will involve utilizing tools such as SPSS, R, and Python for statistical analysis and machine learning. You will engage in regression modeling and robust data visualization to transform raw data into actionable insights. By employing data-informed decision-making techniques, you'll help tackle challenges related to student success, enrollment trends, and program evaluations, ensuring that our strategies are data-driven and effective. Joining our dynamic team provides ample opportunities for growth and professional development. You will collaborate with innovative minds, gaining exposure to cutting-edge techniques and methodologies in data science. As part of our commitment to fostering talent, there will be opportunities to lead projects and mentor junior analysts. This role is unique because it combines technical expertise with a strong emphasis on real-world impact. You will not only analyze data but will also directly influence the strategic direction of the organization, making your contributions vital to our mission.

Responsibilities

Design innovative statistical models using R and Python to enhance data insights. Build machine learning algorithms to predict enrollment trends and improve student success. Lead data visualization projects that transform complex datasets into actionable insights. Architect comprehensive regression models to analyze program evaluations effectively. Drive data-informed decision-making by collaborating with key stakeholders across departments. Implement SPSS and SAS tools for advanced statistical analysis and reporting solutions.

Key Skills

R
15%
Python
15%
Machine Learning
15%
SPSS
10%
Data Visualization
10%

Benefits

Competitive salary and comprehensive health benefits that prioritize your well-being. Flexible health plans and wellness programs to support a balanced lifestyle. Access to professional development resources to enhance your skills and career growth. Opportunities for continuous learning through workshops and certifications. Inclusive culture that encourages innovation and collaboration among team members. Enjoy team-building events and perks that foster a positive work environment.

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