Neuron7. ai
SaaS
StaffDataScientist|(AIML|GraphNeuralNetworksandNLP)
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Scientist | (AI ML |Graph Neural Networks and NLP) at Neuron7. ai. Skills: NLP, Machine Learning, Graph Neural Networks. Lead development and deployment of NLP-based solutions. Process and analyze unstructured data at scale”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
10 years of experience in data science, Focus on NLP and unstructured data processing, Graph Neural Networks experience, Extensive experience in NLP, Proven track record of launching NLP-driven products, Expertise in Python, Experience with Transformer-based models, Experience with one or more cloud platforms, Proficiency in SQL for analytics, Excellent problem-solving skills, Ability to work with large-scale datasets, Interpersonal skills, Communication skills
Nice to Have
Knowledge of MLOps practices, Background in working with customer-facing applications, Background in working with APIs
What You'll Do.
Lead development and deployment of NLP-based solutions
Process and analyze unstructured data at scale
and optimize machine learning models
Architect and deploy AI/ML products on cloud platforms
Collaborate with data engineering teams
Ensure seamless integration of AI models
Perform advanced SQL analytics
Extract actionable insights from structured datasets
Stay up-to-date with advancements in NLP
Stay up-to-date with advancements in machine learning
Mentor junior data scientists
Foster a culture of technical excellence
Communicate complex technical concepts to stakeholders
Communicate complex technical concepts to customers
Partner with customers to understand needs
Translate customer needs into technical solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Customers
Communication Scope
Technical concepts; Customer interaction
Full Job Description
## Description About Us: Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our swift traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments—such as high-tech devices, manufacturing, and medical devices—Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai. Why Join Us: At Neuron7.ai, you’ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. About the Team: As a Staff Data Scientist at Neuron7.ai, you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. You will bring a deep technical skill set and a passion for innovation to launch impactful AI products to live users. You will also serve as a mentor to junior team members and collaborate closely with cross-functional teams and customers. What You’ll Do: Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. Perform advanced SQL analytics to extract actionable insights from structured datasets. Stay up-to-date with the lat
Applying for this Staff Data Scientist | (AI ML |Graph Neural Networks and NLP) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Neuron7. ai?
Real rants from real employees. Read before you apply.