Sr Staff Data Scientist

Job description

**Job Description Summary**
As a Sr Staff Data Scientist, you will lead and work within teams as a technical domain expert addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment.

You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets.

Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision.

The ideal candidate will be responsible for developing and deploying machine learning models in production environments.

This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders.

**Job Description**

**Roles and Responsibilities** :

+ Understand business problems and identify opportunities to implement data science solutions.
+ Develop, verify, and validate analytics to address customer needs and opportunities.
+ Design, develop, and deploy machine learning models and algorithms
+ Work in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
+ Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
+ Collaborate with data scientists to optimize RAG and LLM pipelines for performance and accuracy.
+ Utilize semantic and ontology technologies to enhance data integration and retrieval.

Ensure data is semantically enriched to support advanced analytics and machine learning models.
+ Interact with cloud services and develop and deploy models within cloud environments such as AWS, Azure, Google Cloud, and Databricks
+ Perform exploratory and targeted data analyses using descriptive statistics and other methods.
+ Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization
+ Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
+ Communicate methods, findings, and hypotheses with stakeholders.
+ Mentor colleagues in technical areas and drive standardization across the analytics enterprise
+ Review data science/AI projects for technical rigor

**Minimum Qualifications:**

+ Bachelor’s degree from accredited university or college with minimum of **6** years of professional experience OR associates degree with minimum of 8 years of professional experience
+ 4 years proficiency in Python (mandatory)
+ 3 years demonstrated expertise in cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services
+ 3 years demonstrated expertise working and leading in team settings in various roles
+ **Note:** Military experience is equivalent to professional experience

Eligibility Requirement:

+ Legal authorization to work in the U.S. is required.

We will not sponsor individuals for employment visas, now or in the future, for this job.

**Desired Characteristics:**

+ Demonstrated skill in defining and delivering customer value.
+ Demonstrated expertise communicating complex information to executive stakeholders
+ Demonstrated expertise in critical thinking and problem-solving methods
+ Demonstrated experience deploying and managing CI/CD pipelines
+ Demonstrated skill in data management methods and analytic scaling
+ Demonstrated skill in prescriptive analytics and analytic prototyping.
+ Demonstrated skill in solutions integration
+ Demonstrated skill in serving as a change agent.
+ Demonstrated skill in working in ambiguous environments.

**Note:**

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA.

For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role.

However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

_This role requires access to U.S. export-controlled information.

Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government._

**Additional Information**

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.

GE Aerospace is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) .

Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

**Relocation Assistance Provided:** Yes
GE Aerospace is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Required Skill Profession

Other General