Job Description Summary Organization's Summary Statement: The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions. The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge analytics products and an integrated suite of situational awareness tools for transportation practitioners. These products and services are rapidly changing the way governments operate and make decisions. You can learn more about our products at https://ritis.org/. We receive hundreds of gigabytes of transportation data daily, making our petabytes of archived data likely the largest collection of traffic data in the world. Our clients use our software to monitor real-time operations and analyze historical data to generate valuable insights. Our work saves taxpayers money, improves the environment, and saves lives! We’re as passionate about transportation as we are about building great software. We care about building usable, stable, and secure software to analyze massive amounts of data. We use cutting-edge tech to build and maintain our software. We have a mature development process and use industry best practices to build the best software possible. Our team is composed of application developers, analysts, UX designers, data scientists, IT, quality assurance specialists, and customer support operating in an Agile environment. Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees are welcome to work in our office, or other locations, with a flexible schedule around our core hours. We also have many employees who are fully remote and work from different states. UMD requires all employees to live in the US, and we periodically bring remote employees to work with colleagues on-site. We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply. When you join our team, you will work to define, document, and test a wide variety of transportation data analytics and operations applications. You will learn new skills and stay current with industry best practices and emerging technologies. Data Science Role Overview The CATT Lab is searching for a talented senior-level transportation data scientist that can provide analytics support to help solve transportation, safety and security problems. The data scientist will lead CATT Lab’s reporting, analysis, modeling and visualization needs. This candidate should be an expert in extracting and transforming data to deliver analytical solutions, methodologies, models and dashboards. Essential duties and responsibilities: Data Science: Serve as expert on RITIS suite data, methodologies, and approaches Design and deploy comprehensive validation strategies for analytical tools Lead efforts to integrate predictive analytics into CATT Lab products, with emphasis on machine learning techniques Identify opportunities to leverage production ready code when developing proof-of-concept exploratory analysis Provide oversight and guidance on technical approaches to experiment design, predictive modeling, and other statistical techniques Discover and provide insights into utilizing new data sets such as location-based services (LBS) into CATT Lab products Handle high visibility, quick turnaround processing and analysis tasks for senior leadership Leadership and Team Management: Manage day-to-day operations of transportation data science team consisting of junior and mid level data scientists Lead cross-team communications with data scientists, UX designers, database administrators, back-end developers and front-end developers Coordinate and collaborate with UX designers to ensure technical methodologies align with interface designs that support effective data analysis and decision making Serve as Principal Investigator and fully manage client-based research projects Meet independently with clients to discuss inquiries and help them interpret data results Demonstrate strong written and verbal communication skills with the ability to communicate approach and results to technical and non-technical audiences Outreach and Business Opportunity Identification: Identify and lead potential funding opportunities developing core ideas, defining requirements and developing estimates Lead composition of research reports, journal articles, and other technical documents Represent CATT Lab at professional conferences and workshops Assist in growing the CATT Lab by recruiting new students and employees Minimum qualifications: Doctoral degree in Data Science, Transportation, Engineering, Computer Science or a relevant field. 4+ years of relevant professional experience with Python, R, SQL and/or Java 4+ years of experience implementing prediction and machine learning models 4+ years of experience with wrangling data and writing preprocessing scripts 4+ years of experience with a lead technical role, managing and mentoring junior data scientists 1+ years of experience with Regional Integrated Transportation Information System (RITIS), Probe Data Analytics (PDA) and Trip Analytics Experience analyzing transportation data sets such as trajectory and probe data and corresponding transportation system performance measures Strong background in transportation data collection methods and technologies Strong communication skills; ability to present technical plans to a non-technical audience efficiently. Experience with Git, Jira, Confluence, and Bitbucket Preferences: 9+ years of relevant professional experience with Python, R, SQL and/or Java Understanding of public agency perspectives on safety, mobility, and sustainability Familiar with transportation reference manuals such as the HCM, MUTCD, AASHTO Green Book, and HSM Power user or expert with Regional Integrated Transportation Information System (RITIS), Probe Data Analytics (PDA) and Trip Analytics Experience with developing scalable prediction and machine learning models for real-time and historical analysis in software applications Experience conducting validation of methodologies and approaches Experience working with big data requiring Spark, Hadoop or other related systems Physical Demands: Sedentary work performed in an office environment. Regularly required to communicate and exchange information and to use technology/devices. Position can be 100% remote Licenses/ Certifications: NA Additional Job Details Required Application Materials: - CV/Resume - References upon request. - Professional Statement-required upon completion of the interview process and before an offer - 3 External Letters-required upon completion of the interview process and before an offer Best Consideration Date: N/A Posting Close Date: 04/17/2026 Open Until Filled: NO Financial Disclosure Required NoFor more information on Financial Disclosure, please visit Maryland's State Ethics Commission website. Department ENGR-Civil-Center for Advanced Transportation Technology Worker Sub-Type Faculty Regular Salary Range $160,000-177,968.79 Benefits Summary For more information on Regular Faculty benefits, select this link. Background Checks Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed. Employment Eligibility The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination Notice Resources - Learn how military skills translate to civilian opportunities with O*Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this career site as the search is being managed by a Search Firm. Please visit the link below to see these available opportunities: Search Firm Managed Vacancies

• Be a key leader in building a discipline of exceptional data scientists and analysts. Develop and execute a comprehensive data strategy - design what world class looks like • Hire, develop, and retain a high performing team of data professionals • Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions. • Oversee the end-to-end ownership, design, development, and maintenance of scalable and reliable data pipelines. • Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations. • Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights. Build a strategic understanding of the business and structure complex projects to bring them to life.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join our Data Science Team! Our collaborative and diverse data science team has experience that spans many industries including energy, retail, healthcare, and DoD. Our projects have ranged from natural language processing (NLP) and text analytics to machine learning, predictive analytics, and computer vision. We are looking for a data scientist who is career-oriented and eager to grow their skills. The ideal candidate will bring innovative use of scientific research concepts, principles, and practices and will contribute to the application of advanced data science methods and techniques. Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments and have the aptitude to learn new data quickly. Qualifications - B.S. in Computer Science, Information Technology, Statistics, Analytics, Mathematics, Engineering or related scientific field. - Minimum of three (3) years of experience performing data science in a corporate setting. - Must have or be willing to obtain Secret Clearance (this requires US Citizenship). - Acceptable candidates must successfully pass a drug test and background screen. Requirements - Integrates and extracts relevant information from large amounts of both structured and unstructured data to enable analytical solutions. - Conducts analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives. - Experience with data sourcing, data cleansing, and data preparation. - Proficient with the Python programming language and significant experience using Python’s data analysis and machine learning libraries such as pandas, NumPy, SciPy, and scikit-learn; familiarity with NLP tooling such as spaCy and Hugging Face. - Experience with or foundational knowledge of Generative AI and Large Language Models (LLMs), including how they can accelerate data analysis and automation tasks, as well as an understanding of their limitations, reliability, and responsible use. - Outstanding problem-solving and critical thinking skills. - Innovative, creative, out-of-box thinking. - Experiment design and algorithm development. - Excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts. - Develops and implements new research objectives, establishes project priorities, defines methods of approach, executes the study, and provides scientific conclusions. - Presents data insights and recommendations to key stakeholders. Benefits - Market competitive salary. - Generous PTO package. - Comprehensive medical, dental, vision, and life insurance plans. - 401K. - Short/long-term disability insurance. - A fun and engaging culture. - Training opportunities to keep you up to speed on the latest technologies. Company Description At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Illumination Works is committed to hiring and retaining the best workforce. We hire the best talent for our customer’s needs. We make our hiring decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Science Intern will support the Strategic Modeling Team which leads the development of advanced analytics as part of the Data & Analytics team. There are two main projects that this intern will support: - Leverage AI & LLMs to automate the gathering of producer-specific product and packaging data to support validation of producer supply reports. - Support research into the cost for producers to reduce or eliminate their plastic packaging to inform the incentive mechanism aimed at achieving a 25% reduction in plastic packaging in California. This is an excellent opportunity for someone who enjoys quantitative analysis, structured problem-solving, data automation, and supporting companies to transition to a circular economy. Key Responsibilities - Producer Packaging Data Automation - Build and update scripts that will automate data gathering from generative AI tools about the specific products sold and packaging utilized by each of our member producers. - Process and classify data to ensure output matches standard categories. - Leverage clustering algorithms to identify producers with similar reporting trends. - Compare actual producer reports to predictions and identify potential incorrect reports. - Integrate the output into tools and visualizations for other team members to utilize for follow-up with producers. - Packaging Cost Curve Research and Modeling - Leverage internal and external experts to identify specific opportunities for producers to reduce or eliminate plastic packaging, including: - Lightweighting - Elimination of plastic components - Shifting to a non-plastic package format - Research and model costs for achieving the packaging reductions and calculate $/lb reduced, $/component eliminated. - Aggregate data, cluster by producer type and source reduction pathways. - Conduct analysis to assess fee impacts, material-specific considerations, and producer-level implications. Qualifications - Currently in a program to achieve a Bachelor’s degree in Data Science, Business Analytics, Engineering, Software Development, or related field. - Experience with data analysis, data cleansing, and data processing. - Experience with Excel and data visualization tools such as Power BI. - Experience with Python scripting, integrating with APIs, processing results from LLMs, and interacting with databases. - Interest in sustainability, recycling, or EPR systems is a plus. Requirements - Strong analytical and quantitative skills; able to interpret complex datasets and identify actionable insights. - Familiarity with data validation, governance, and data system integration best practices. - Strong communication and interpersonal skills, capable of engaging with diverse teams and stakeholders. - Detail-oriented with a commitment to accuracy, completeness, and compliance. - Strong time-management skills and ability to work with remote teams across multiple time zones. - Ability to work independently and collaboratively in a dynamic, mission-driven environment. Compensation & Other Information - Location: Fully Remote - Pay Rate: $25.00 per hour. Since this is a temporary position, it is not eligible for benefits. - Interns must have their own laptop and access to high-speed internet. - Reports To: Tim Elliot, Director of Strategic Modeling.