GE jobs - Data Science Lead

Role Summary:
Are you passionate about text analytics, modelling and adding value to customers?
This could be the role for you!

You will help build the data science strategy for people operations by connecting data in different systems, testing hypothesis and predicting user needs. You will identify use cases, improvement opportunities and solve through self-learning models.

Partner with channel strategy and service delivery leaders, to help us realize the true power of data!


Essential Responsibilities:
Come , join our team as we drive a differentiated employee experience by making our channels and service experience systems more intelligent, cost-efficient and self-sufficient to address the varying needs of our personas. There is huge data in our people operations systems that has pent-up potential to identify & predict trends in employee needs. And here is an opportunity to use that to improve employee experience & productivity.

Responsibilities include

Continuously learn the needs of our key personas, existing products and services in People Operations

Understand and comply to data privacy requirements of GE and local region/country

Support development of data science strategy through a systematic approach of building reusable codes, models, data sets and connecting systems.

Map the data landscape among different systems and understand how they can inform each other about the employee needs, in a compliant manner

Partner with channel strategy leaders and regional service delivery leaders to identify needs/possibilities, prioritize use cases, build experiments and test hypothesis

Develop continuously learning models that address use cases in areas like analyzing service cloud tickets, personalizing oneHR, efficient routing of tickets to agents, understanding Tier 1 cases, predicting phone calls, classification of persona with unique needs, etc..

Partner with digital team to evaluate and build a tech stack for data science models once the necessary scale is achieved

Develop and implement a consistent taxonomy across portals, content, chatbot and other channels

Track ROI of data science projects

Learn from and share experiences with other companies and within GE.


Qualifications/Requirements:

Minimum 5 years of proven experience applying common NLP frameworks and languages including NLTK, Spacy, Stanford NLP, BERT, RASA and others to tackle business problems.

Demonstrated background in Topic Modeling, Sentiment analysis, Summarization, Semantic analysis, Entity identification, OCR and Word Embedding Vectors and other machine learning / deep learning capabilities using unstructured text datasets.

Experience with implementation/deployment of NLP pipeline from end to end.

Project Management Skills

Lean mindset and experience

Inclusive and Innovative

Less than 15% travel required


Desired Characteristics:

Experience with coding, programming and testing

Experience in people operations/ service applications

Experience in taxonomy building

Experience in analyzing website traffic, click streams and flow

Knowledge of organization network analytics and workforce planning


About Us:
GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. 

Additional Locations:
Hungary, India, Mexico;Bangalore, Budapest, Monterrey;