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Data Scientist

Overview

ABOUT THE POSITION

Are you a dedicated Data Scientist looking to make a significant impact through cutting-edge technology and data-driven approaches? Join VHB's innovative Technology Enablement Team in a corporate Data Science position, where you'll work with a diverse team of experts, including engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with a broad range of clients—from government agencies to private businesses in the transportation, real estate, institutional, and federal industries—aiming to enhance communities, stimulate economic growth, and promote environmental sustainability.

 

In this role, your skills in data analysis and modeling will be crucial in uncovering valuable insights and providing VHB with a competitive advantage. Start a fulfilling career with VHB, where your expertise will aid in enhancing mobility, community livability, and sustainable 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.
  • Produce innovative solutions driven by exploratory data analysis from complex and high dimensional datasets that are both qualitative and quantitative across the AEC industry.
  • Mines and analyzes highly 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.
  • 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.
  • May 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 Attributes

  • 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.
  • 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.
  • Familiar with Low-Code/No-Code experience, MicrosoftPowerApps, Databricks, ElasticSearch, MongoDB, Tableau, Azure, GTFS data.
  • Familiarity with database management systems, such as SQL Server or Oracle
  • Exposure with project management and task management and leading portions of a project and/or budget.
  • 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+ years of experience with advanced analytics in a professional setting.
  • Master’s degree in Statistics, Mathematics, or equivalent discipline
  • Demonstrated experience working in Planning, Architecture, Engineering, or Construction is required with emphasis in providing services for state and federal governments.  
  • 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.
  • Excellent ability to communicate effectively (both written and verbal) with all levels of Employees including non-technical staff.
  • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship.

The base salary range for this position is $110,000 – 143,000 for the Washington, DC and New York 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 Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity/expression, national origin, disability, protected veteran status, or other characteristics protected by law.

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Average salary estimate

$126500 / YEARLY (est.)
min
max
$110000K
$143000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, VHB

Are you an enthusiastic Data Scientist eager to dive into a world of innovation and analytics? Join VHB's dynamic Technology Enablement Team based in Watertown, where your passion for data will flourish! At VHB, we pride ourselves on tackling diverse challenges from a variety of sectors including transportation and real estate, and you're right at the heart of it all. You'll collaborate with an exceptional team of engineers, planners, and technologists to leverage big data, uncover insights, and provide our clients with solutions that enhance community livability and promote sustainability. Your role will involve overseeing significant projects, developing dashboards and complex data processes, and utilizing advanced statistical methods to guide impactful decisions. As you strategize on data sources, recognize trends, and communicate findings effectively, you'll not only help us gain competitive advantages but also play a part in shaping the future of communities. With VHB, every day is an opportunity to use your skills in machine learning and predictive modeling, while nurturing your career in a supportive culture of growth and collaboration. If you’re looking to make a difference and enjoy working in a forward-thinking environment, VHB is excited to welcome you on board!

Frequently Asked Questions (FAQs) for Data Scientist Role at VHB
What are the key responsibilities of a Data Scientist at VHB?

At VHB, a Data Scientist is responsible for leading multifaceted big data projects, analyzing complex datasets using statistical methods, and developing innovative data-driven solutions. You will extract valuable insights from data, collaborate with a team of experts, and communicate your findings through compelling data visualizations to influence business decisions.

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What qualifications are required for the Data Scientist position at VHB?

To join VHB as a Data Scientist, candidates need a Master’s degree in Statistics, Mathematics, or a related field, along with a minimum of 5 years of professional experience in advanced analytics. Familiarity with technologies like Python, SQL, and machine learning are essential to excel in this role.

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What tools and technologies should a Data Scientist know at VHB?

A Data Scientist at VHB should be proficient in a variety of tools, including machine learning libraries in Python, SQL, Tableau, and data visualization platforms such as Power BI. Having knowledge of database management systems and exposure to Low-Code/No-Code applications, along with familiarity with Esri products, will greatly enhance your effectiveness in this position.

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How does VHB support the professional growth of its Data Scientists?

VHB is committed to fostering an environment that supports career development for its Data Scientists. Employees are encouraged to participate in training, collaborate with experts across various fields, and work on transformational projects that contribute to both personal and professional growth.

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What kind of projects will a Data Scientist work on at VHB?

As a Data Scientist at VHB, you'll engage in diverse projects that span the fields of urban planning, transportation, and environmental engineering. You'll develop data models, analyze trends, and create dashboards to support decision-making processes for clients, making invaluable contributions to community and economic enhancements.

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Common Interview Questions for Data Scientist
Can you describe your experience with machine learning and how it relates to the Data Scientist role?

When answering this question, focus on specific projects where you applied machine learning techniques. Highlight the algorithms used, the data involved, and the impact of your work. Make sure to communicate your understanding of how machine learning helps in predictive modeling within the AEC industry.

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How do you handle large datasets and ensure data integrity?

Discuss methods you implement to maintain data integrity, such as establishing validation checks, utilizing version control, and your approach to cleaning datasets. Highlight your familiarity with data management practices and tools that assist in managing large datasets effectively.

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What visualization tools have you used, and how do they enhance data interpretation?

When responding, mention specific visualization tools like Tableau or Power BI. Describe how these tools help communicate complex data insights to stakeholders, improve decision-making processes, and aid in presenting data creatively to non-technical audiences.

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Describe a time when your data analysis led to an actionable business insight.

Provide a detailed example of a project where your analysis affected business outcomes. Discuss the data you analyzed, the methodologies employed, and the specific insights derived. Emphasize how you communicated these insights to stakeholders to implement effective changes.

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How do you stay updated with the latest trends in data science?

Highlight your commitment to continuous learning through attending workshops, participating in online courses, or following relevant publications and blogs. Emphasize how staying current with trends enhances your work quality and keeps your skills relevant in this rapidly evolving field.

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What is your approach to teamwork and collaboration in project management?

Emphasize the importance of collaboration and your ability to communicate effectively within a team setting. Share experiences where working as part of a team led to better project outcomes and how you navigate challenges in collaborative environments.

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Have you ever dealt with a challenging data problem? How did you approach it?

Discuss a specific data challenge you encountered, detailing how you analyzed the situation, the steps you took to solve it, and the outcome achieved. This showcases your problem-solving abilities and your capacity to handle pressure effectively.

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What statistical methods are you comfortable using, and how have you applied them in your work?

Provide examples of statistical methods you are proficient in, such as regression analysis or hypothesis testing, and illustrate how you have applied these methods in previous roles to draw conclusions or make predictions based on data.

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How do you prioritize tasks when managing multiple projects?

Talk about your time management strategies, how you assess project urgency, and set priorities. Mention tools you use for tracking progress and ensuring that deadlines are met while maintaining the quality of your work.

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What would you consider the biggest trend in data science currently?

Discuss a trend you are passionate about, such as the rise of AI and machine learning or the shift towards real-time data analytics. Make it personal by explaining why this trend excites you and how you foresee its impact on fields relevant to VHB.

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Full-time, hybrid
DATE POSTED
April 17, 2025

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