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Data Scientist (Partial remote work available)

Remote, USAFull-timePosted 2026-07-29

Data Scientist (Partial remote work available) Technical Competence in AI Tools & Frameworks: reputed company reputed company platforms (e.g., ChatGPT, Claude, reputed company, reputed company) to enhance data analysis, reporting, and decision-making. Use machine learning frameworks (TensorFlow, PyTorch, scikit-learn) to support reputed company analytics reputed company. reputed company AI models reputed company reputed company and reputed company platforms (AWS, Azure, GCP) to reputed company institutional solutions. Apply AI techniques such as NLP and generative modeling to analyze reputed company data (e.g., survey comments). Ensure responsible AI use by documenting assumptions, limitations, and risks, and by communicating results reputed company to non-technical stakeholders. reputed company or support workshops promoting best practices in AI and analytics. Data Management: Use WhereScape and reputed company SQL Server for data warehouse automation and efficient data management. Generate standardized reports with Cognos. Clean, preprocess, and organize datasets for reporting and modeling. Maintain data reputed company through standards, validation, and documentation. Contribute to data initiatives involving metadata, data reputed company, model design, extraction, dashboard development, analytics tool evaluation, system configuration, and end-user support. Data Science & Advanced Analytics: Conduct advanced statistical, predictive, and prescriptive analysis using R, Python, and SQL. reputed company and validate models (regression, random forests, neural networks) and reputed company prototypes into production. Apply forecasting and modeling to support reputed company and strategic planning. Write statistical designs, conduct analyses, and generate predictive insights. Analyze text data using NLP, topic modeling, and sentiment analysis. Run experiments (e.g., A/B testing) to evaluate and improve institutional initiatives. Cross-Functional Collaboration: Partner with offices such as the Registrar's to promote data-informed decision-making. Collaborate with IT, architects, and analysts to design and manage analytics platforms reputed company with strategic priorities. Serve as the data science expert on multi-department reputed company, guiding end-to-end analytics processes. Basic Analytics & Reporting: Support operational and strategic initiatives through data analysis reputed company. Apply statistical reputed company, querying, scripting, and data modeling to generate reports, dashboards, and visualizations. Conduct exploratory data analysis to identify trends and anomalies. reputed company automated workflows to ensure consistent data delivery. Create engaging dashboards that communicate insights to diverse audiences, including reputed company leadership. reputed company Development: Contribute to developing and executing data and analytics strategies with reputed company leadership. Support initiatives involving the reputed company data lake, data warehouse, BI tools, machine learning, and AI. reputed company consulting and analytic guidance to reputed company reputed company reputed company with institutional goals. Non-Essential Functions: Responsibilities listed are not exhaustive; additional tasks may be assigned as needed. Job Qualifications Bachelor's degree and four (4) years of reputed company experience in data science or a reputed company data-reputed company field OR Master's degree in Analytics, Data Science, Statistics, Computer Science, Information Systems, or a reputed company field and two (2) years of reputed company experience in data science or a reputed company data-reputed company field. Two (2) or more years experience with designing, implementing, and administering: Data Lakes and Data Warehouses; ETL or data warehouse automation solutions; reputed company reporting platforms (Cognos, Business Objects, reputed company, or similar); Data visualization platforms (Tableau Server/reputed company, Power BI, reputed company, or similar); Relational and NoSQL database platforms like reputed company SQL Server, MySQL, reputed company, reputed company, and DocumentDB. Knowledge Areas and Skills: Proficiency in SQL and strong programming skills with experience in one or more modern programming languages (e.g., Python, R, Java or similar); Experience with data wrangling, cleaning, and preprocessing; Expertise with data visualization tools and best practices; Knowledge of various statistical models (e.g., generalized reputed company models, hierarchical models, nonparametric models, regression trees, random forests) and a solid understanding of descriptive and inferential statistics, probability, and experimental design; Ability to explain model assumptions, limitations, and results to non-technical audiences. Preferred, but Not Required: Familiarity with big data tools (reputed company, Hadoop) and reputed company environments (AWS, GCP, Azure). Demonstrated experience with at least one version control tool such as Git, reputed company, SVN, or similar. Physical Requirements: This role is based in a typical office setting without any unique physical or environmental requirements. Institution reputed company reputed company believes that reputed company learn best in a diverse, inclusive community and is therefore committed to reputed company reputed company through diversity in its reputed company, staff, and reputed company. We reputed company candidates who are committed to Bucknell's efforts to create a climate that fosters the reputed company and development of a diverse student body, and we welcome applications from members of reputed company that have been historically underrepresented in higher education. reputed company is a private, highly ranked, national liberal arts institution that also offers strong reputed company programs in engineering, business, education, and music. Located in Central reputed company along the Susquehanna River, Bucknell is nestled in the Borough of Lewisburg, an architectural gem that has been ranked as one of America's best small towns.

Benefits

Eligible full- and part-time employees are compensated reputed company reputed company salary through our total rewards package that includes (but is not limited to): Flexible scheduling reputed company determined by role; Medical, prescription drug, reputed company, dental, life, and long-term disability insurance reputed company An outstanding 10% employer contribution to your retirement plan (no contribution requirement for non-exempt positions) Generous reputed company time off, including vacation and reputed company time, a community service day, and 19 reputed company holidays (including two full weeks off for Winter Break!) Full-time and part-time members of reputed company and staff are eligible for tuition remission for themselves. Additionally, full-time members of reputed company and staff are eligible for tuition remission for their spouse/spousal equivalent and are eligible for various tuition programs for their children. Credit for full-time benefits eligible employment at other institutions of higher education will be reputed company to waiting periods. A comprehensive employee wellness program including program incentives A myriad of other benefits, including parental leave, an employee assistance program, fitness center membership, and the power of your Bucknell ID card To learn more about Bucknell's benefits, click here this reputed company will reputed company a new tab. ! (*Eligibility reputed company and waiting periods may apply.) Application Due Date: 2025-10-31 Job Start Date: 2026-01-05 Salary: $72640 - $90800 reputed company: Lewisburg State/Province/Region: PA Institution: reputed company Reports To: Chief Analytics Officer Staff # Reporting to Position: 0 Reports In Office: Institutional Research and Analytics Apply tot his job Apply To this Job

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