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GE Aerospace

Senior Data Scientist

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $140K - 215K a year · our estimate

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Description

The company is an aerospace business. This small team builds data science solutions quickly, with the aim of delivering clear value to internal customers.

You will turn customer requirements into working solutions, drawing on your analytical skills, data knowledge and user experience.

You will support AI and ML projects alongside company functional teams, including FLIGHT DECK work such as Kaizen, VSM and Gemba.

Responsibilities

  • Take on projects that often involve large or complex datasets, covering asset in-service deployment, fleet monitoring and management, OEM, MRO, supply chain and finance.
  • Build, test and deploy data science solutions that solve real problems and create significant business value.
  • Develop custom in-house analytics tools to meet customer needs.
  • Combine data science with application and domain expertise, using methods such as LLMs, computer vision, neural networks and advanced statistics.
  • Work alongside internal customers and stakeholders throughout each project.

Requirements

  • Hold a bachelor's degree from an accredited university or college with at least 2 years of professional experience, an associate degree with at least 5 years, or a high school diploma with at least 7 years.
  • Military service counts as professional experience.
  • You need legal authorization to work in the U.S. The company will not sponsor employment visas for this job, now or in the future.
  • Access to U.S. export-controlled information is required, so you must prove you are a U.S. person: a U.S. lawful permanent resident, a U.S. citizen, or someone granted asylee or refugee status as a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3).
  • Preferred: Python scripting skills for analysis.
  • Preferred: Experience applying ML, AI or advanced statistics to real-world problems.
  • Preferred: Experience with version control, ideally GitHub.
  • Preferred: Experience with an analytic development platform such as AWS or Databricks.
  • Preferred: A keen interest in the aerospace or aviation industry.
  • Preferred: Curiosity and creativity to drive business impact.
  • Preferred: Comfort working in a team or alone.
  • Preferred: Ability to meet task deadlines.
  • Preferred: Ability to explain complex technical information to peers, experts and non-experts alike.
  • Preferred: Ability to seek out and act on customer feedback.

Conditions

This role is office-based at the UK office and reports to the UK senior director of data science.

The company only hires people who are legally authorized to work in the U.S. for this opening.

Any job offer depends on passing a drug screen, where applicable. Employees may also face random and reasonable-suspicion drug and alcohol testing.

Benefits

  • Relocation assistance is provided.

Where you’d work

From the office

Relocation offered

No visa sponsorship

About the company

GE Aerospace

  • Industry: Mobility

Office in United States

Also hiring in United Kingdom, Italy, Prague, Czechia and 2 more places

2 of their 45 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 3 red flags

Still hiring?

13 checks

1 red flag

How crowded?

7 checks

2 red flags

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  • Must-haves
Details14 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Databricks
  • LLMs
  • Computer vision
Seniority
Senior
Type
Full-time
Industry
Mobility
Specialty
Data Science
Region
United States
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
2+ years
Tech stack
  • Python
  • AWS
  • Databricks
  • LLMs
  • Computer vision

Location

Work model
Office
Region
United States
Office
  • United States
Relocation
Offered
Visa sponsorship
Not sponsored

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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