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Stage Data Scientist Jobs (NOW HIRING)

Agile Defense

Data Scientist

Omaha, NE · On-site

They are seeking a Data Scientist to design, develop, and deploy AI-enabled data solutions within ... The company is currently Late Stage.

Agile Defense

Data Scientist

Tampa, FL · On-site

They are seeking a Data Scientist to design, develop, and deploy AI-enabled data solutions within ... The company is currently Late Stage.

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... Experience with more than one company size or business stage preferred * Must be legally authorized ...

EVgo

Data Scientist

They are looking for a Data Scientist to identify and solve problems on their charger network using ... The company is currently Growth Stage.

Point72

Data Scientist

Manhattan, NY · On-site

Point72 is a leading global alternative investment firm, and they are seeking a Data Scientist to ... The company is currently Late Stage.

Waymo

Data Scientist

Mountain View, CA · On-site

$170K - $216K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ...

V2Soft

Data Scientist

Seattle, WA · On-site

They are seeking a Data Scientist with a strong background in marketing measurement and ... The company is currently Late Stage.

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Stage Data Scientist information

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$165K

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How much do stage data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for stage data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

Is 30 too late for data science?

Stage Data Scientists can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science through online courses, certifications, and building portfolios, regardless of age. Age is less important than your ability to develop relevant skills like programming, statistics, and data analysis tools.

What is the difference between Stage Data Scientist vs Data Analyst?

AspectStage Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a relevant degree (e.g., Computer Science, Statistics)Often holds a degree in related fields; certifications are common but not mandatory
Work EnvironmentCollaborates with data science teams, involved in model development and experimentationFocuses on data cleaning, reporting, and visualization tasks
Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across various industries for business insights

Stage Data Scientists are typically in training or early in their careers, focusing on developing models and gaining experience in data science. Data Analysts primarily handle data interpretation, reporting, and visualization. While both roles require analytical skills, Stage Data Scientists often work on more complex modeling tasks, whereas Data Analysts focus on descriptive analytics and reporting.

Is 40 too late for data science?

Stage Data Scientists or those transitioning into data science can start at any age, including 40, as the field values skills like programming, statistics, and problem-solving. Many professionals successfully switch careers later in life by gaining relevant certifications and building a portfolio of projects.
What cities are hiring for Stage Data Scientist jobs? Cities with the most Stage Data Scientist job openings:
Infographic showing various Stage Data Scientist job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Contract. Highlights an 69% In-person, 6% Hybrid, and 25% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Agile Defense

Omaha, NE • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Agile Defense is a company focused on supporting the nation's important missions through advanced technologies. They are seeking a Data Scientist to design, develop, and deploy AI-enabled data solutions within the Department of Defense, working closely with a multidisciplinary team to transform raw data into meaningful insights.
Responsibilities:
• support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program
• help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments
• collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools
• require strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery
Qualifications:
Required:
• A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience
• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark)
Preferred:
• Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow).
• Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry).
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib.
• Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences.
Company:
Agile Defense is an information technology company located in Reston. It is a sub-organization of Agile-BOT. Founded in 1998, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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