Why This Job is Featured on The SaaS Jobs
This Data Scientist I role sits at the intersection of SaaS and enterprise customer experience automation, where product value is delivered through models that perform reliably across many clients and high-volume interactions. In an agentic AI platform, data science typically influences not only model quality, but also how capabilities are packaged into a no-code system that can be deployed and managed at scale.
For someone building a SaaS career, the work signals practical exposure to the full lifecycle of applied ML in a product setting: translating ambiguous customer problems into measurable objectives, selecting methods that balance accuracy with operational constraints, and collaborating across disciplines to land outcomes. Experience with NLP, information extraction, and modern data architectures tends to transfer well across SaaS categories that rely on unstructured data, from support automation to document workflows.
The position is best suited to an early-career practitioner who wants to be a direct contributor while learning how technical decisions connect to product roadmaps. It will likely appeal to candidates who prefer collaborative environments, enjoy iterating on models with real-world feedback, and are motivated by building systems that must generalize beyond a single dataset or one-off analysis.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
Do you believe in the missions of intelligence agencies? Are you interested in building state-of-the-art NLP models and solving complex technical challenges? Do you want to be a part of our journey in shaping the future of Automated Customer Service?
If you are interested in working on some of the most challenging technical and programmatic issues, we would love to discuss with you the exciting work and career opportunities at Netomi.
As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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Job Responsibilities:- Apply knowledge in one or more of the following areas to achieve goals and deliver results
- NLP and Machine learning
- Computer programming (programming languages, computer science, scientific computing)
- Computer analytics architecture (e.g. distributed computing and modern databases)
- Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts.
- Work as a direct contributor and key technical advisor to define the roadmap of projects
Requirements:- Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field.
- 1+ years of work experience related to statistical analysis, machine learning models and programming.
- Self-motivated and driven to satisfy intellectual curiosity through the pursuit of learning and development of new skills.
- Experience working with a wide variety of statistical models such as linear/logistic regression, clustering, classification, support vector machines (SVM) neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some.
- Knowledge of Natural Language Processing (NLP) techniques (POS Tagging, NER, Semantic Role Labelling etc.) and good working experience with at least one of the frameworks (e.g. Stanford NLP, Apache OpenNLP, Mallet, Ling pipe, NLTK).
- Deep knowledge and experience in Information Extraction ( structured and unstructured data), Knowledge Information Retrieval and Knowledge Representation.
- It would be good to have if the candidate has knowledge of Deep Learning (ANN, CNN, RBM) and has NLP Deep Learning experience related to Word2Vec, Thought Vectors.
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Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
