Edtech.com's Summary

Purdue University is hiring a Senior Data Scientist (P3). The role involves analyzing and processing large data sets using statistical software and SQL, developing predictive models, creating data visualizations, and presenting analytic results to management and end users.

Highlights

Analyze, manipulate, and process large datasets using statistical software and SQL
Develop predictive models and compare them using statistical performance metrics
Create visualizations such as graphs and charts to convey analysis results
Design data collection methods including web scraping for external data
Develop analytic plans and engineer supporting algorithms using programming languages like Python and PL/pgSQL
Present results of modeling and analysis orally and in writing to management or end users
Required proficiency in data visualization tools (e.g., Tableau, D3.js, GGplot) and data science toolkits (e.g., Anaconda Python, Apache MADlib, R)
Experience with machine learning techniques (k-NN, Naive Bayes, SVM, Decision Forests) and query languages, preferably PostgreSQL
Educational requirements include a Master’s degree plus 3 years, or a Bachelor’s degree plus 5 years in relevant fields such as Mathematics, Statistics, Data Science, or Computer Science
Compensation ranges from $72,700 to $129,500 with flexibility for telecommuting within the United States

Data Scientist, Senior Full Description

Job Summary

Employer's Name: Purdue University

Campus: West Lafayette

Organizational Unit: Office of the Provost, iDA+A (Institutional Data Analytics + Assessment) Office

Worksite: Position reports to 155 S Grant Street, West Lafayette, Indiana, 47907 (Tippecanoe County)

Job Title and Details: Senior Data Scientist (P3)

Duties: Analyze, manipulate, or process large sets of data using statistical software and SQL. Collect and combine data from multiple sources. Clean and manipulate raw data using statistical software and SQL. Perform feature extraction and apply these features in models predicting outcomes of interest. Compare models using statistical performance metrics. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. Design data collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in programming languages to conduct analyses, and design and implement solutions to execute analytic plans. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

Requirements: Master's Degree plus 3 years relevant hand's-on experience, or Bachelor's Degree plus 5 year's hand's-on experience. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or Computer Science or in a related field (e.g., Computer Information Systems, Engineering). In either case, relevant "Hand's-On" experience must include the following: (A) 3 (or 5) years' experience with Data visualization tools, such as Tableau, D3.js, GGplot, etc.; and/or common data science toolkits, such as Anaconda Python, Apache MADlib, and R; and Scripting and programming skills, particularly in Python and PL/pgSQL; (B) 1 year experience with Machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests; and Query languages, PostgreSQL preferred; and (C) 1 semester of coursework, training or experience with applied statistics skills, such as a strong understanding of distributions, ability to perform statistical testing, regression, etc.

Flexibility to work evenings or weekends as needed and/or respond 24/7 to critical issues. Position reports to West Lafayette campus in Tippecanoe County (Eastern Standard Time). Telecommuting from home office permitted from within the United States. All requirements may be satisfied concurrently. Background Check required.

The wage range for this opportunity is $72,700 - $129,500 (S075 payband)

For further information contact: Ian Pytlarz, Principal Data Scientist, ipytlarz@purdue.edu

Purdue's main campus is located in West Lafayette Indiana, a welcoming and diverse community with a wide variety of cultural activities, events, and industries. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

Original Job Description

Job Summary

Employer's Name: Purdue University

Campus: West Lafayette

Organizational Unit: Office of the Provost, iDA+A (Institutional Data Analytics + Assessment) Office

Worksite: Position reports to 155 S Grant Street, West Lafayette, Indiana, 47907 (Tippecanoe County)

Job Title and Details: Senior Data Scientist (P3)

The wage range for this opportunity is $72,700 - $129,500 (S075 payband)

For further information contact: Ian Pytlarz, Principal Data Scientist, ipytlarz@purdue.edu

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