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Internship Ge Data Scientist Jobs (NOW HIRING)

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Experience analyzing real world data through coursework, thesis research, internships, or work ... Advanced degree in a data science equivalent field or sub-field * Experience developing, retraining ...

Ardian

Data Scientist Intern

New York, NY · On-site

Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Figma

Data Scientist, Core Data - PhD (2026)

Snowflake) through research or internships • Ability to communicate technical concepts clearly to ... data science to product or business problems • An AI-native mindset, with exposure to or interest ...

GDIT

Data Scientist Mid

Fort Liberty, NC · Hybrid

$109K - $148K/yr

Experience: 5-8 years of related experience, including academic or internship-based data science work. * Education: Bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or ...

Intel

Data Scientist

Phoenix, AZ · On-site

$190K - $269K/yr

... Data Scientist who will work for manufacturing data analysis, assembly yield modeling and AL/ML ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

SentiLink

Data Scientist, New Grad

As a Data Scientist, you will build fraud detection models and advance products in financial risk ... internships, or personal projects • Demonstrated ability to analyze complex problems and build ...

Berkley

Principal Data Scientist

Glen Allen, VA · On-site

We are seeking an exceptional Principal Data Scientist who is part deep technologist, part entrepreneur, and part strategic innovator. This is not a traditional analytics role, it is built for a ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that highlight your skills and a strong dedication to the field of data science. * Fundamental knowledge ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ · On-site

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

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Internship Ge Data Scientist information

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$122.7K

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How much do internship ge data scientist jobs pay per year?

As of Jul 25, 2026, the average yearly pay for internship ge data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects can an intern expect to work on in a GE Data Scientist internship?

As a Data Scientist intern at GE, you can expect to work on real-world projects that involve analyzing large datasets, building predictive models, and developing data-driven solutions to support business decisions. Interns often collaborate with experienced data scientists and engineers, contributing to tasks such as data cleaning, feature engineering, and creating visualizations to communicate insights. The work environment is typically team-oriented, encouraging knowledge sharing and mentorship. These projects are designed to give interns practical experience and exposure to the latest tools and technologies used in the industry.

What are the key skills and qualifications needed to thrive as an Internship GE Data Scientist, and why are they important?

To thrive as an Internship GE Data Scientist, you need a solid background in statistics, programming (usually Python or R), and data analysis, often supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools, machine learning libraries (like scikit-learn or TensorFlow), and experience using SQL databases are typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when interpreting data insights and collaborating with teams. These skills are crucial for transforming complex data into actionable business solutions and contributing meaningfully to GE’s data-driven projects.
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Internship Ge Data Scientist jobs near you
Infographic showing various Internship Ge Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

NOV, Inc.

Houston, TX • On-site

Full-time

Posted 17 days ago

NOV rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

152nd of 433 rated machine equipment manufacturers

Job description


Reports to: VP Data & Analytics
As a Senior Data Scientist, you will:
  • Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
  • Develop a firm understanding of specific business processes and real-world workflows
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations globally across multiple business units
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

SUGGESTED QUALIFICATIONS
  • Master's degree in a quantitative discipline
  • Five or more years of professional data science experience in manufacturing and/or supply chain environments
  • Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
  • Deep expertise in machine learning, forecasting and optimization
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841

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