General Electric

Staff Engineer - Data Science and Applied Statistics

General Electric

West Chester Township, OH, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

As a Staff Engineer - Data Science and Applied Statistics at General Electric, you will play a crucial role in driving innovation and data-driven decision making across our organization. We are seeking a highly skilled and driven individual who is passionate about applying data science and statistical techniques to solve complex business problems. In this role, you will have the opportunity to work with cutting-edge technology and collaborate with cross-functional teams to deliver impactful solutions. We are looking for someone with a strong background in statistical modeling, machine learning, and programming, along with excellent communication and problem-solving skills. If you are ready to take on a challenging and rewarding role at one of the world's leading companies, we encourage you to apply for this exciting opportunity.

  1. Lead and drive the development and implementation of data science and statistical techniques for solving complex business problems.
  2. Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
  3. Utilize cutting-edge technology and tools to design and execute statistical models and machine learning algorithms.
  4. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
  5. Stay up-to-date with industry trends and advancements in data science and applied statistics, and proactively identify opportunities for improvement and innovation.
  6. Conduct thorough data analysis and provide actionable insights to support decision making.
  7. Develop and maintain data pipelines and databases to ensure accurate and efficient data processing.
  8. Mentor and provide technical guidance to junior team members.
  9. Collaborate with data engineers and IT teams to ensure data quality and integrity.
  10. Represent the organization at conferences and industry events, showcasing expertise in data science and applied statistics.
Where is this job?
This job is located at West Chester Township, OH, USA
Job Qualifications
  • Graduate Degree In Data Science, Applied Statistics, Or A Related Field.

  • Minimum Of 5 Years Experience In A Data Science Or Analytics Role.

  • Strong Proficiency In Programming Languages Such As Python, R, And Sql.

  • Extensive Knowledge Of Statistical Modeling Techniques And Machine Learning Algorithms.

  • Experience With Large-Scale Data Analysis And Visualization Tools, Such As Hadoop And Tableau.

Required Skills
  • statistical analysis

  • Machine Learning

  • Data Visualization

  • Regression analysis

  • Experimental design

  • Data Mining

  • Predictive modeling

  • Time series analysis

  • Data Interpretation

  • Programming Languages (Python, R, Sql)

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Staff Engineer - Data Science and Applied Statistics in West Chester Township, OH, USA is $100,000-$150,000 per year. Salaries can vary depending on factors such as experience, education, and the specific job duties of the position.

Additional Information
General Electric is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 19th, 2024
Apply BeforeMay 22nd, 2025
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About General Electric

General Electric Company was an American multinational conglomerate founded in 1892 and incorporated in the state of New York and headquartered in Boston. The company had several divisions, including aerospace, energy, healthcare, and finance.

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