Transportation Data Scientist

Citian • Washington, DC

15d • Onsite

About The Position

Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation and infrastructure systems – roads, rail, transit, bicycle, pedestrian – operate. Our tech solutions reduce traffic fatalities, enhance pedestrian accessibility, and empower system operators to save time & money. You’ll work with some of the brightest minds in the software and transportation industries. Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base. We work with clients across the United States, with global ambitions in the years ahead. Citian is seeking a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. You have at least 3+ years of data science experience and NLP. You will collaborate with cross-functional teams to enhance our products and services, driving innovation and providing actionable intelligence to meet business goals. If you are passionate about data and are eager to contribute to the success of a startup, we would love to hear from you.

Requirements

• Bachelor's in Computer Science, Data Science, or a related field
• 3+ years of experience in machine learning, artificial intelligence, and data science ideally within the transportation industry
• Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.)
• Strong knowledge of machine learning techniques, NLP and AI algorithms
• Experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.)
• Experience with transformers and LLMs (HuggingFace, GPT, PyTorch, TensorFlow, etc.) and cloud infrastructure platforms such as Snowflake and AWS
• Demonstrated ability to work in a collaborative team environment
• Excellent communication and data storytelling skills
• Strong problem-solving and analytical skills

Responsibilities

• Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.
• Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.
• Clean, preprocess, and transform large datasets to prepare them for analysis and model training.
• Identify and engineer relevant features to enhance model performance and accuracy.
• Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
• Work closely with cross-functional teams, including engineers, product managers, and domain experts, to understand business requirements and deliver data science solutions that meet those needs.
• Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed.
• Embrace the startup mentality by wearing multiple hats and stepping outside traditional job roles as needed. Your versatility and willingness to take on diverse responsibilities will be key to our success in a dynamic and evolving landscape.

Benefits

• Competitive salary and benefits package including medical, dental, and vision insurance and generous PTO.
• 401(k) company match
• Monthly commuter transportation benefit
• On-site gym
• Free snacks in the office
• High-growth potential and opportunities for advancement within a fast growing, venture-backed SaaS startup!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level