Senior Data Scientist

Omnissa

Senior Data Scientist leading AI/ML and data analytics at Omnissa’s AI-driven digital work platform. Responsible for building advanced ML solutions and collaborating with cross-functional teams.

Posted 5/30/2026full-timeMountain View • California • 🇺🇸 United StatesSenior💰 $146,287 - $304,750 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaNumpyPandasPythonRayScikit-LearnSpark

About the role

Key responsibilities & impact

Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data
Work with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems
Leverage key technologies and state-of-the-art tools necessary for exploring/querying data, visualization, and advanced analytics - distribution of key attributes, relationships between attributes, feature engineering, and statistical analyses
Be an expert in and lead the development of AI/ML solutions based on Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agents
Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency
Design and implement prompt engineering strategies to optimize the performance of LLM based applications
Collaborate with cross functional teams to integrate ML solutions into core platform features and services

Requirements

What you’ll need

5+ years of experience in data science or machine learning engineering roles
Hands-on experience with supervised and unsupervised learning, classification and regression, clustering, time-series analysis, anomaly detection, recommendation systems, reinforcement learning, information retrieval, and natural language processing (NLP)
Highly proficient in Python and working knowledge of at least one other programming language such as Java, C++
Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers
Hands-on experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment
Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems
Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems
Familiarity with cloud platforms and tools such as AWS, Azure, or Google Cloud for development and deployment of scalable AI/ML models
Experience with distributed computing frameworks (e.g., Spark, Ray)

Benefits

Comp & perks

employee ownership
health insurance
401k with matching contributions
disability insurance
paid-time off
growth opportunities
corporate bonus program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencemachine learningsupervised learningunsupervised learningclassificationregressionclusteringnatural language processingprompt engineeringAI/ML frameworks

Soft Skills

collaborationleadershipcommunication