Geospacial Data Scientist Needed at HDR, Winston-Salem, NC USA

A Data Scientist collects, evaluates, and visualizes data. They use machine learning and other techniques to glean insights from data and help companies make informed decisions.

Skill requirements

Developing the right skills can help you enter this in-demand field. Primary skills for Data Scientists include:

  • Structured Query Language (SQL) – the language to build and manage databases.
  • Data visualization tools – Microsoft Power BI and Tableau help you visualize and communicate your findings to non-tech audiences.
  • Strong mathematics skills – you’ll need to know some math to become a data scientist, primarily statistics and probability.

Job outlook

Because data science has a broad range of practical applications, it’s one of the fastest-growing tech careers. The U.S. Bureau of Labor Statistics(opens new window) (BLS) predicts that Data Scientist job openings will increase 36% between 2021 and 2031. Employers will create around 40,500 new data science positions during this period.

Salary data

We’ve included the entry-level, high-paying, and average Data Scientist salary data below.

  • Entry-level salary – starts at $88,460
  • Average base salary – $144,654
  • Salary for the highest-paying jobs – $236,547

About the job

About Us

At HDR, we specialize in engineering, architecture, environmental, and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts, and artists. That’s why we believe diversity is our greatest strength. HDR is proud to be an equal opportunity workplace and an affirmative-action employer.

Watch Our Story:‘’We believe that the way we work can add meaning and value to the world. That ideas inspire positive change. That coloring outside the lines can illuminate fresh perspectives. And that small details yield important realizations. Above all, we believe that collaboration is the best way forward

Primary Responsibilities

As a Geospatial Data Scientist at HDR, you will join a team of Utility Management Analysts, Utility Management Consultants, Data Scientists, and Data Engineers, on a combination of projects for HDR clients nationwide. Provide leadership and guidance in integrating GIS and engineering systems with data science and analytics. The ideal candidate will have a strong background in geospatial data analysis and modeling, with the ability to apply advanced statistical and machine-learning techniques to spatial data sets.

The candidate should be able to work collaboratively with other data scientists, data engineers, and domain experts to develop and implement analytical solutions to solve complex geospatial problems. The candidate will work with a team of subject matter experts to produce high-quality solutions, deliverables, and insights on large water utility projects, maximizing the use of the data to support our teams in delivering optimized solutions. The candidates should be able to collect and transform data, build data models, and generate insights.

  • Independent worker able to manage multiple projects and priorities
  • Ability to deal with ambiguity, think critically, analyze, and interpret data
  • Analyze and model large and complex geospatial data sets using advanced statistical and machine-learning techniques
  • Develop and implement analytical models and algorithms to solve geospatial problems
  • Work closely with domain experts to understand business problems and translate them into analytical solutions
  • Special projects and other duties as assigned
  • Potential travel up to 25%

Required Qualifications

  1. Education: A bachelor’s degree in a relevant field such as computer science, statistics, mathematics, or data science is typically required. A master’s or Ph.D. degree is often preferred.
  2. Programming Skills: Proficiency in programming languages such as Python, R, or Java is essential for data manipulation, analysis, and model development.
  3. Statistical Knowledge: Strong understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, and probability theory.
  4. Machine Learning: Experience with machine learning algorithms and frameworks, such as scikit-learn, TensorFlow, or PyTorch. Knowledge of deep learning architectures is a plus.
  5. Data Manipulation: Expertise in working with large datasets, data cleaning, data preprocessing, and feature engineering. Familiarity with SQL for data extraction and manipulation is beneficial.
  6. Data Visualization: Ability to create visually appealing and informative data visualizations using tools like Tableau, matplotlib, or ggplot.
  7. Big Data Technologies: Familiarity with distributed computing frameworks such as Hadoop, Spark, or MapReduce is advantageous for processing and analyzing large-scale datasets.
  8. Communication and Collaboration: Strong written and verbal communication skills to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Collaboration skills to work effectively in cross-functional teams.
  9. Business Acumen: Understanding of business goals and the ability to translate data insights into actionable recommendations to drive business value.

Salary Data for Data Scientists in the United States:

The salary for data scientists in the United States can vary based on factors such as experience, location, industry, and company size. According to available data and industry trends, here is an approximate salary range for data scientists:

  • Entry-Level (0-2 years of experience): $70,000 – $100,000 per year
  • Mid-Level (2-5 years of experience): $100,000 – $130,000 per year
  • Experienced (5+ years of experience): $130,000 – $180,000 per year
  • Senior/Lead Data Scientist: $180,000 – $250,000+ per year

It’s important to note that these figures are estimates and can vary based on the specific circumstances of the job, the candidate’s qualifications, and the company’s compensation structure. Additionally, salaries tend to be higher in tech hubs such as San Francisco, New York, and Seattle compared to other regions in the United States.


At HDR, we know work isn’t only about who you work for it’s also about what you do and how you do it. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other’s contributions, and collaborate together to make great things possible. When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way.

Primary Location: United States-North Carolina-Winston-Salem

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