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Internship Ge Data Scientist Jobs (NOW HIRING)

The AI Scientist will work on developing and deploying modern machine learning methods to analyze ... data analytics and applications Company : GE Healthcare is a multinational company that ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

... project, internship, or employment experience in each of the following: R, Python, or SOL; NLP ... data science, or data analytics projects. Pay Range: $111240.00/year to $222480.00/year. This pay ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Lead the Rising Tide program and Mentor interns. Coordinate with IT developers and (content) subject matters experts to translate information needs into data science solutions. Drive new developments ...

Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

Data Scientist to Formulate mathematical and statistical theories and methods, using cutting edge ... Completion of a university-level course, research project, internship, or thesis in each of the ...

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Internship Ge Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jul 4, 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.
More about Internship Ge Data Scientist jobs
What cities are hiring for Internship Ge Data Scientist jobs? Cities with the most Internship Ge Data Scientist job openings:
What are the most commonly searched types of Ge Data Scientist jobs? The most popular types of Ge Data Scientist jobs are:
What states have the most Internship Ge Data Scientist jobs? States with the most job openings for Internship Ge Data Scientist jobs include:
Infographic showing various Internship Ge Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Full-time

Posted 18 days ago


Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

Required Skills
Required Experience