Data Scientist

Arcadis•Orlando, FL

1d•Hybrid

About The Position

Arcadis is seeking a motivated Data Scientist to join the Mobility Team. This role focuses on supporting the Mobility and Digital teams with data analytics, data processing, analytical model development, data visualizations, and technical reporting. As an entry-level Data Scientist, you will assist in digital transformation projects and learn to leverage low code/no code frameworks to deliver customized applications and workflows that meet client needs. This role sits within the Global Mobility Business Area. We partner with our clients across the nation to design thriving and connected cities and communities that enable opportunity for all and keep the world moving. Climate change, urbanization and digitization trends are requiring today’s mobility projects and systems to address an evolving set of demands from the world’s growing population. We design connected, sustainable solutions that integrate existing infrastructure with new technologies, and optimize the mobility of people and goods. Join us to kick-start your career in data science, work on impactful projects, and grow your skills in a supportive environment!

Requirements

Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Proficiency with data analysis tools such as Python (e.g., pandas, scikit-learn) or R.
Experience with data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib, Seaborn)
Proficiency with data analysis tools such as Python (e.g., pandas, scikit-learn) or R.
Experience with data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Nice To Haves

Exposure to the Mobility industry or similar sectors is a plus.
Excellent communication and interpersonal skills to engage effectively with clients and team members.
Basic project management skills and a client-centric approach to deliver quality solutions.
Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus
Knowledge of data privacy and security principles.

Responsibilities

Assist in collaborating with clients in the Mobility industry to understand their business requirements and challenges.
Manage data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using Power BI, RShiny or Tableau), and developing the data infrastructure needed to support delivery of innovative solutions to clients.
Collect, clean, and preprocess data from various sources to ensure quality and usability for analysis.
Identify and address missing or inconsistent data points.
Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights.
Use statistical techniques to interpret results and support business questions.
Assist in building, testing, and validating predictive or classification models under the guidance of senior team members.
Apply basic machine learning algorithms as appropriate to solve business challenges.
Present data findings using clear visualizations (e.g., charts, dashboards) and concise reports.
Communicate complex analyses in an understandable manner to both technical and non-technical audiences.
Work closely with cross-functional teams—including data engineers, product managers, and business stakeholders—to understand requirements and deliver data-driven solutions.
Maintain organized and well-documented code, analyses, and project workflows.