Data Scientist Jobs
Data Scientist jobs are open from entry-level to staff and principal across technology, healthcare, finance, and retail, with specializations in machine learning engineering, natural language processing, and applied analytics. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 2,189+ Data Scientist jobs
- Experience modeling on structured and unstructured data sets
- Experience with exploratory data analysis
- Experience in feature engineering
- Experience in data visualization
- Experience with Deep Learning methodology and state of the art libraries
- Knowledge of data collection methods, capabilities, and tasking process
- Ability to leverage multiple data management tools to organize relevant information and make decisions
- Support an Agile software development lifecycle
- Ability to hold a position of public trust with the US government.
- 0-2 years industry experience developing ML/AI solutions and a passion for solving complex problems.
- 0-2 years direct experience in Data Modeling and Data Solution Development
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
- Demonstrated experience manipulating structured and unstructured data for analysis
- Strong programming skills in SQL, Python, R, Scala, Java, or similar language
- Experience using Python to manipulate large data sets
- Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks
- Demonstrated experience in big data systems including Hadoop, Spark, Scala
- Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
- Knowledge of DBOps and MLOps framework is a plus
- Experience with Solr, Elasticsearch, or similar tool is a plus
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
- Experience modeling on structured and unstructured data sets
- Experience with exploratory data analysis
- Experience in feature engineering
- Experience in data visualization
- Experience with Deep Learning methodology and state of the art libraries
- Knowledge of data collection methods, capabilities, and tasking process
- Ability to leverage multiple data management tools to organize relevant information and make decisions
- Support an Agile software development lifecycle
- Ability to hold a position of public trust with the US government.
- 0-2 years industry experience developing ML/AI solutions and a passion for solving complex problems.
- 0-2 years direct experience in Data Modeling and Data Solution Development
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
- Demonstrated experience manipulating structured and unstructured data for analysis
- Strong programming skills in SQL, Python, R, Scala, Java, or similar language
- Experience using Python to manipulate large data sets
- Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks
- Demonstrated experience in big data systems including Hadoop, Spark, Scala
- Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar
- Knowledge of DBOps and MLOps framework is a plus
- Experience with Solr, Elasticsearch, or similar tool is a plus
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
Data Scientist Jobs by Experience Level
Top Cities Hiring Data Scientists
Explore data scientist openings in the cities hiring most right now.
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Find Data Scientist JobsData Scientist Job Market
Who's Hiring
- Booz Allen Hamilton61
- Intuit59
- Capital One46
- Google44
- Information Technology Senior Management Forum44
Top Industries Hiring
- Technology & Software88
- Banking & Financial Services15
- Investment & Asset Management11
- Consulting & Professional Services11
- Insurance7
What Employers Look For
The qualifications that appear most often in data scientist jobs.
- Proficiency in Python and SQL for data manipulation and analysis
- Experience building and deploying machine learning models in production
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Ability to communicate findings and model results clearly to non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or Looker
Tips for Your Data Scientist Job Search
Tailor your resume to each posting
Copy the exact model names and tools listed in the job description, such as XGBoost, PyTorch, or dbt, into your resume where you've used them. Applicant tracking systems score resumes on keyword matches before a human ever reads them.
Show model impact, not just methods
Hiring managers want to know what your model did in production, not just that you built one. Replace phrases like 'developed a classification model' with outcomes: how it changed a decision, reduced error, or moved a business metric.
Build a portfolio that reflects the industry
A healthcare data scientist role and a fintech one call for different demos. Pick one or two portfolio projects that use data problems from your target industry, even if the work was done independently, so reviewers immediately see relevant context.
Apply early to roles that fit
Migrate Mate lists data scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a take-home case study
Most data scientist interviews include a take-home assignment involving messy real-world data. Practice writing clean, commented code and a short executive summary alongside your analysis, since both are evaluated separately in most scoring rubrics.
Negotiate by anchoring to scope, not title
When discussing offers, frame your ask around the complexity of the modeling work, the expected data volume, and cross-functional scope rather than just job title. That framing shifts the conversation toward business value and tends to support a stronger outcome.
Data Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most data scientists?
Booz Allen Hamilton, Intuit, and Capital One are hiring the most data scientists right now, with openings concentrated in California, Virginia, and New York, based on current listings on Migrate Mate as of November 2026. Volume and location shift month to month, so checking current listings gives you the most accurate picture.
How many data scientist jobs are remote?
About 78% of data scientist openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible roles in the technology sector. Machine learning research, analytics engineering, and NLP roles tend to have the highest share of fully remote postings compared to embedded or product-facing data science positions.
How do you become a data scientist?
Most data scientists start by building fluency in Python and SQL, then move into statistics, machine learning fundamentals, and a tool like scikit-learn or PyTorch. A degree in a quantitative field helps, but employers weigh portfolio projects and demonstrated modeling skills heavily. Working through real datasets, publishing notebooks, and completing a capstone project in your target industry will move your application forward faster than coursework alone.
How do you get hired as a data scientist with little experience?
Focus on one specialized area, such as natural language processing, computer vision, or time-series forecasting, rather than trying to show breadth. Build two or three end-to-end projects that go from raw data to a deployed or shareable model output. Entry-level and associate data scientist roles, as well as data analyst positions with modeling components, are realistic starting points and often lead to a full data scientist role within a year or two.
What does the data scientist interview process look like?
Most data scientist interview processes include a recruiter screen, a technical phone interview covering statistics and Python, a take-home assignment or case study, and a final loop with the team that often includes a presentation of your case study findings. Some companies add a system design or data modeling round. The full process typically runs across several weeks from first contact to offer.
Where can I find and apply to data scientist jobs?
You can find and apply to data scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your background and apply directly to each one that fits. New postings are added regularly, so checking back often gives you access to the most current opportunities.
See All 2,189+ Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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