Transportation Data Scientist
At a glance
Mid-level Data Science role at Citian. Washington · $90,000–$125,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune models that draw useful information from varied sources, especially text
- Prepare large datasets for analysis and training, then create features that improve model results
- Apply AI and machine learning to produce predictive and prescriptive models
- Set up ways to evaluate and track model performance, working with engineers, product managers and domain experts
- Follow NLP and AI research and use relevant advances on real-world problems
What you bring
- At least three years in data science, machine learning and AI, ideally in transportation
- A bachelor's degree in computer science, data science or another related field
- Strong Python and SQL skills, including experience with Python data and NLP libraries
- Experience working with geospatial data and with transformers or large language models
Who this fits
This mid-level role suits someone with transportation data experience who can collaborate with technical and product colleagues and explain data findings clearly. You should be comfortable taking on varied work in a startup environment. The position is based in Washington, DC, and pays $90,000 to $125,000 a year.
From the employer
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
- 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.
Who You Are:
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.
Responsibilities:
- Model Development: Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.
- Machine Learning and AI: Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.
- Data Preprocessing: Clean, preprocess, and transform large datasets to prepare them for analysis and model training.
- Feature Engineering: Identify and engineer relevant features to enhance model performance and accuracy.
- Model Deployment and Evaluation: Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
- Collaboration: 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.
- Research: 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.
Qualifications:
- 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
Salary Range: $90,000 - 125,000
Your Citian Advantage:
- Competitive salary and benefits package including medical, dental, and vision insurance and generous PTO.
- 401(k) company match and monthly commuter transportation benefit
- On-site gym and free snacks in the office
- High-growth potential and opportunities for advancement within a fast growing, venture-backed SaaS startup!
Let's build smarter cities together! Learn more about Citian here: www.citian.co
** Citian is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Equal Opportunity/Affirmative Action Employer Minorities/Females/Protected Veterans/Persons with Disabilities
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