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Data Science Startup Jobs in Washington (NOW HIRING)

Citian

Transportation Data Scientist

Washington, DC · On-site

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 ...

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How much do data science startup jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science startup in Washington is $121,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,735.00 and $168,565.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Washington? The most popular types of Data Science Startup jobs in Washington are:
What are popular job titles related to Data Science Startup jobs in Washington? For Data Science Startup jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Washington look for? The top searched job categories for Data Science Startup jobs in Washington are:
What cities in Washington are hiring for Data Science Startup jobs? Cities in Washington with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,197 per year, or $58.3 per hour.

Transportation Data Scientist

Citian

Washington, DC • On-site

Other

Posted 9 days ago

Job description

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

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