Data Scientist
Washington, DC, United States
VHB
VHB's passionate engineers, scientists, planners, and designers are working together to deliver value to our clients and help shape our communities in a meaningful way.Overview
ABOUT THE POSITION
Are you a passionate Data Scientist eager to make a meaningful impact through innovative technology and data-driven solutions?
Join VHB's dynamic Technology Enablement Team in the Mid-Atlantic Region (Raleigh, Charlotte, Richmond, Virginia Beach, Williamsburg, Tysons Corner, or Washington DC), where you will collaborate with a diverse group of dedicated professionals, including engineers, scientists, planners, designers, and technologists. At VHB, we partner with a wide range of clients—from public sector agencies to private enterprises across the transportation, real estate, institutional, and federal sectors—working collectively to enhance communities, foster economic growth, and ensure environmental sustainability.
As part of our team, your expertise in analyzing and modeling organizational data will be pivotal in driving key insights and providing VHB with a strategic edge. Embark on a rewarding journey with VHB, where your skills will contribute to improving mobility, community livability, and responsible development. Apply now and help shape the future with VHB!
Key Responsibilities
- Lead big data-related projects across multiple areas including planning, transportation safety, planning, traffic operations, and transit/rail. Develop and maintain dashboards and websites that support large databases, facilitate complex search queries, and enhance various business functions.
- Mines and analyzes complex structured/unstructured data sets using highly advanced statistical methods for use in data-driven decision making.
- Strategizes, identifies, and implements new uses for existing data sources and unique opportunities to locate and collect new data; designs, modifies, and builds new data processes, and builds large, complex data sets ensuring data integrity and statistical accuracy.
- Extracts and identifies relevant information from databases and systems.
- Recognizes patterns, identifies opportunities, poses business questions, and makes valuable discoveries leading to prototype development and product improvement.
- Produce innovative solutions driven by exploratory data analysis from complex and high dimensional datasets that are both qualitative and quantitative.
- Employs sophisticated analytical methods, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling. Designs, develops, tests, validates, and analyzes models and advanced algorithms that lead to optimal value extraction from the data.
- Interprets results, predicts future data trends and other data foresights, and proposes strategic business solutions.
- Writes and distributes findings. Using strong business acumen, communicates data insights, foresights, and strategic solutions to both business and IT leaders through effective data visualizations and reports to influence how the organization approaches and meets business challenges. Recommends strategic cost-effective changes to existing business practices.
- Develops and applies customized algorithms or models to key business metrics with the goal of improving operations or answering business questions. Implements automated processes for efficiently producing scale models.
- Builds prototypes and performs data visualization.
- Has full responsibility for large projects. May oversee and lead a project team of lower-level data scientists and GIS analysts.
- Leads a project team of less experienced data staff and GIS analysts. Directs and monitors the work of less experience staff. Provides direction and support to ensure departmental effectiveness and efficiency. Orients and trains team members. Provides input into evaluating performance. May act as a supervisor in the absence of an actual supervisor.
- Trains the data management team on new or updated procedures.
- Writes and implements quality procedures.
Skills and Knowledge
- Ability to implement common data management and reporting technologies, including the basics of columnar databases, unstructured data, and data visualization in Esri products (ArcGIS Online), Power BI or other tools.
- Familiar with Low-Code/No-Code experience, MicrosoftPowerApps, Databricks, ElasticSearch, MongoDB, Tableau, Azure, GTFS data.
- Familiar with C# or C++ or .NET programming languages.
- Familiarity with database management systems, such as SQL Server and Oracle, is a plus.
- Exposure with project management and task management and leading portions of a project and/or budget.
- AEC experience preferred but not required.
- Advanced knowledge of machine learning, data mining, statistical predictive modeling programming, simulation, and advanced mathematics.
- Understanding of parallelization, scalability, and complexity analysis.
- Extensive experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
- Team oriented with ability to perform multiple tasks independently in a timely manner and collaborate effectively and positively with coworkers.
- Ability to absorb new concepts quickly and a willingness to learn the basics of the AEC industry.
- Excellent ability to communicate effectively (both written and verbal) with all levels of Employees including non-technical staff.
- Active listening skills with the ability to breakdown complex problems or processes to solve problems internally and externally for clients.
- Skilled in strategic thinking, problem solving and connecting disparate dots.
- Attention to detail and ability to meet tight deadlines.
- Stays updated on new and innovative development technologies and workflow improvements.
Minimum Qualifications
- Minimum of 5-7 years of experience with advanced analytics in either an academic or professional setting. 7- 10 years’ experience is preferred.
- Master’s degree in Statistics, Mathematics, or equivalent discipline
The base salary range for this position is $115,000 – 170,000 for the Washington, DC location. This offer is determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities and geographic location. In addition, VHB offers a holistic benefits package which can be found here.
We are VHB! We’re an inspired and innovative team of engineers, scientists, planners, and designers who partner with clients in the transportation, real estate, institutional, and energy industries, as well as federal, state, and local governments. Our work helps improve mobility, enhance communities, and contribute to economic vitality. We do this while balancing development and infrastructure needs with stewardship of our environment.
Our people make us great! VHB provides a differentiating employee experience, which includes:
- Diverse and inclusive culture of collaboration and innovation
- Opportunity to work on complex, transformational projects
- Community and social responsibility as sustainable stewards
- Focus on learning, development, and career growth
- Best-in-class benefits, including flexible, hybrid workplace
We are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast. We’re growing, and we hope you’ll join us!
VHB is a proud Affirmative Action and Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion—supported by deep-rooted core values, one of which is diversity. All individuals receive consideration for employment based on their qualifications without discrimination for race/ethnicity, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, pregnancy, marital status, or any other basis protected by law.
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Tags: Azure Big Data Data analysis Databricks Data management Data Mining Data visualization EDA Elasticsearch Excel Machine Learning Mathematics MongoDB NumPy Oracle Pandas Power BI Predictive modeling Python R SciPy SQL Statistics Tableau Unstructured data
Perks/benefits: Career development Equity / stock options Flex hours
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