Data Science Specialist
- GE
- 3 - 5 years
- Bengaluru
- 4 days ago
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Job Description
Job Description SummaryThe Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets.Job DescriptionSite Overview
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.
Role Overview
The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include
- Development of data science models.
- Work alongside software developers and software engineers to translate algorithms into viable products and services.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Perform exploratory and targeted data analysis using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing and data analytics.
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes.
- Share and discuss findings with team members.
The Ideal Candidate
- The ideal candidate should have experience in Gen AI/LLM, python.
Required Qualifications:
- Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field
- Proficiency in Python (mandatory).
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems
- Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets
- Demonstrated skill at data visualization and storytelling for an audience of stakeholders
- Strong communication and interpersonal skills
Preferred Qualifications:
- Influences within peer group.
- Implements specific component(s) of the roadmap.
- Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones.
- Aware of models such as CART SVM RF Neural Net and the associated sub-models
- Knowledge on Gen AI/LLM
- Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets.
- Understands the types of issues that impact data quality
- Performs basic data cleaning operations such as flagging missing and invalid data etc.
- Fits normal parameters to data and assess goodness of fit
- Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values.
- Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots.
- Has a basic understanding of GE Aerospace business and how the tools they are developing create value.
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
#LI-VR1
Additional InformationRelocation Assistance Provided: Yes
Job Classification
Industry: Industrial Equipment / MachineryFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: GELocation(s): Bengaluru
Keyskills: python predictive analytics data cleansing data visualization statistics semantic algorithms data analytics data analysis machine learning artificial intelligence data quality assessment gen data science computer science operations research
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