Data Scientist

Urban SDK, Inc.; Jacksonville (FL); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual Bonus

Medical, Vision, Dental, 401(k)

21 Days Vacation

Office Lunch provided Daily

Job summary

Urban SDK, Inc. in Jacksonville, FL is seeking a Data Scientist to design, build, and maintain scalable data pipelines and platforms for geospatial traffic analytics.

The role requires strong Python, cloud, and geospatial data expertise, with experience deploying ML models to production. The ideal candidate has 5+ years in data science, hands-on experience with Spark, GIS tools, and cloud platforms, plus excellent communication and mentoring skills.

Qualifications

• Master's or PhD in CS, DS, statistics, mathematics, or related field.
• 5+ years of experience in data science or related fields.
• Strong Python and libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Experience with big data platforms and geospatial data analysis.

Responsibilities

• Lead end-to-end development of ML and statistical models for traffic prediction, route optimization, congestion analysis, and mobility analytics.
• Design and implement scalable data pipelines and workflows for processing large-scale geospatial and temporal datasets.
• Analyze traffic patterns using geospatial data and sensor feeds to derive actionable insights.
• Collaborate with engineering teams to integrate ML models into production systems.
• Conduct exploratory data analysis (EDA), feature engineering, and model evaluation to ensure robust and accurate predictions.
• Stay current with the latest advancements in ML, deep learning, geospatial analytics, and big data technologies.
• Mentor junior data scientists and provide guidance on best practices for model development and data analysis.
• Present findings and insights to cross-functional teams, stakeholders, and clients in a clear and actionable manner.

Skills

Python

Pandas/NumPy

Scikit-learn

TensorFlow/PyTorch

Spark/Hadoop

Geospatial GIS

GeoPandas/Shapely

Time Series

Predictive Modeling

Cloud Platforms

Docker/Kubernetes

Data Visualization

Communication Skills

Education

Master's or PhD in CS/DS/Statistics/Math

Tools

PostGIS

QGIS

GeoPandas

Shapely

Spark

Hadoop

Hive

AWS

GCP

Azure

Docker

Kubernetes

Job description

Careers

Data Scientist

We are hiring a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications.

We are hiring a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that support our geospatial traffic analytics applications. The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering practices, including automated testing, CI/CD, and data quality monitoring.

Responsibilities:

• Lead the end-to-end development of machine learning and statistical models for traffic prediction, route optimization, congestion analysis, and mobility analytics.
• Design and implement scalable data pipelines and workflows for processing large-scale geospatial and temporal datasets.
• Analyze traffic patterns using geospatial data and sensor feeds (GPS, IoT, traffic cameras, etc.) to derive actionable insights.
• Collaborate with engineering teams to integrate machine learning models into production systems.
• Conduct exploratory data analysis (EDA), feature engineering, and model evaluation to ensure robust and accurate predictions.
• Stay current with the latest advancements in machine learning, deep learning, geospatial analytics, and big data technologies.
• Mentor junior data scientists and provide guidance on best practices for model development and data analysis.
• Present findings and insights to cross‑functional teams, stakeholders, and clients in a clear and actionable manner.

Required Qualifications:

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, machine learning, or related fields.
• Strong proficiency in Python and associated libraries (pandas, NumPy, scikit‑learn, TensorFlow/PyTorch, etc.).
• Hands‑on experience with big data platforms and tools (Spark, Hadoop, Hive, or similar).
• Solid understanding of geospatial data analysis, GIS tools (e.g., PostGIS, QGIS), and geospatial libraries in Python (e.g., GeoPandas, Shapely).
• Experience with predictive modeling, time series analysis, and optimization algorithms.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes) is a plus.
• Strong analytical, problem‑solving, and communication skills.

Preferred Skills:

• Experience with real‑time streaming data and event‑driven architectures.
• Familiarity with traffic simulation models, urban mobility data, or Intelligent Transportation Systems (ITS).
• Proven track record of deploying ML models into production environments.

Compensation:

• Location: Jacksonville, FL (Town Center Area) or Remote
• Type: Full‑time
• Reports to: Director of Engineering
• Salary Based on Experience
• Annual Bonus
• Medical, Vision, Dental, 401(k)
• 21 Days Vacation
• Office Lunch provided Daily

About Urban SDK

Urban SDK is shaping the Future of Smart Cities. We are pioneers in geospatial AI technology, providing public leaders with insights and automation for mission‑critical decisions. We equip critical public services with geospatial AI, enabling precise, data‑driven decisions with efficiency and confidence.

Our Commitment to People

We are committed to aligning business growth with professional outcomes for every employee. Our commitment has been recognized by Jacksonville Business Journal and Will Reed as a noted Best Places to Work.