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Stage Data Scientist Jobs (NOW HIRING)

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

Job Summary: We are seeking an experienced Data Science Engineer to join our team. The ideal ... Lead early-stage solution design, incorporating user feedback to refine functionality and usability.

Crusoe

Senior Data Scientist

San Francisco, CA · On-site

Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central ... Experience on a growing or early-stage data team, contributing to foundational development.

Crusoe

Senior Data Scientist

San Francisco, CA · On-site

Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central ... Experience on a growing or early-stage data team, contributing to foundational development.

Crusoe

Senior Data Scientist

Sunnyvale, CA · On-site

Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central ... Experience on a growing or early-stage data team, contributing to foundational development.

Next Gen Alloys

Data Scientist

Cudahy, WI

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous ...

ATI

Data Scientist

Cudahy, WI

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence ... The company is currently Late Stage.

MM International

Data Scientist

New York, NY · Remote

The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies' complexity and studies' development stage: • Implement and maintain pre-defined KRIs, QTLs ...

Waymo

Data Scientist

San Diego, CA

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 ...

ATI

Data Scientist

Cudahy, WI · On-site

A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous ...

MORSE Corp

Data Scientist

Arlington, VA · On-site

They are searching for an experienced Data Scientist to analyze data and develop algorithms for ... The company is currently Growth Stage.

Vantor

Data Scientist

Reston, VA · On-site

The Data Scientist role focuses on developing accurate, scalable data solutions that provide ... The company is currently Late Stage.

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All JobsStage Data Scientist Jobs

Stage Data Scientist information

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$46K

$165K

$243.5K

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

Prophecy Technologies

Elk Grove, CA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision-making and user experience. This role offers an exciting opportunity to work on data-powered and AI-driven features, design robust data foundations, and embed language-model-based insights into platforms.
Key Responsibilities:
  • Drive the creation of data-powered and AI-driven features that enhance decision-making and user experience.
  • Design robust data foundations that support analytics, machine learning, and intelligent automation.
  • Embed language-model-based insights into platforms to summarize, classify, and surface key information.
  • Deliver high-impact dashboards and analytics tools tailored for leadership and operational teams.
  • Lead early-stage solution design, incorporating user feedback to refine functionality and usability.
  • Establish best practices for ML deployment, including versioning, automation, and performance monitoring.
  • Ensure AI systems align with product goals while maintaining reliability and interpretability.
  • Act as a cross-functional contributor connecting data science, engineering, and business strategy.

Required Technical Skills:
  • FastAPI, Django REST Framework, and Flask.
  • Pandas, NumPy, and frameworks such as Celery or PySpark.
  • Machine learning and AI-driven features.
  • Robust data foundations and data science.
  • Language-model-based insights and platform embedding.
  • High-impact dashboards and analytics tools.
  • Early-stage solution design and usability refinement.
  • ML deployment and performance monitoring.

Required Qualifications:
  • 6+ months of experience in data science and AI-driven features.
  • Proven expertise in machine learning, data science, and AI-driven features.
  • Relevant certification in data science and AI-driven features.
  • Bachelor's degree in Computer Science or related field.

Preferred Qualifications:
  • Nice-to-have skills in data science and AI-driven features.
  • Soft skills such as strong communication and collaboration skills.
  • Ability to work in fast-paced environment.

Apply