Data Scientist II / Data Analyst

HDR•Washington, DC

6h•Onsite

About The Position

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In the role of Data Scientist II / Data Analyst, we'll count on you to: Handle highly sensitive and confidential information with professionalism and discretion Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data Develop data products including reports, visualizations, and dashboards Adhere to software and data science development standards Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA) Transform raw data into usable attributes for machine learning modules through feature engineering Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference Create automated data pipelines and data engineering solutions Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision) Tune models with training, hyperparameters with comprehensive validation and testing processes Leverage predictive models to optimize business results Position will be based in a client office located in Arlington, VA

Requirements

A degree in a closely related field or combination of education and relevant experience
A minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas
A minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
A minimum of 3 years experience with data science languages such as Python and R
Self-motivated, detail-oriented professional, ability to multitask a must
Proficiency with MS Office including Word and Outlook
Ability to handle confidential information
Excellent writing and people skills
Strong math and organizational skills
Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment
Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
An attitude and commitment to being an active participant of our employee-owned culture is a must
In-depth knowledge of machine learning algorithms, statistical models, and data analytics
Experience completing multiple data science projects

Nice To Haves

Bachelor's degree
A minimum of 5 years experience strongly preferred
Transit experience preferred
WMATA experience preferred
Preference given to candidates currently located in the area

Responsibilities

Handle highly sensitive and confidential information with professionalism and discretion
Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
Develop data products including reports, visualizations, and dashboards
Adhere to software and data science development standards
Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA)
Transform raw data into usable attributes for machine learning modules through feature engineering
Manage model lifecycle including development, deployment, data drift detection, model retraining, and model inference
Create automated data pipelines and data engineering solutions
Develop advanced and custom predictive models (classification, regression, time series, neural networks, natural language processing, and computer vision)
Tune models with training, hyperparameters with comprehensive validation and testing processes
Leverage predictive models to optimize business results