Senior Data Scientist

Omnissa; Atlanta (GA); Hybrid; USD 146,287 - 304,750; Full time

Benefits offered by this job

Employee ownership

Health insurance

401k with matching contributions

Job summary

Omnissa is seeking a Senior Data Scientist for its Atlanta team to lead advancements in AI and machine learning. This role involves collaborating with cross-functional teams and developing scalable ML models and pipelines.

The ideal candidate will have over 5 years of experience, proficiency in Python, and expertise in various AI/ML technologies. Omnissa values innovation and inclusivity, offering competitive compensation and benefits.

Qualifications

• 5+ years of experience in data science or machine learning engineering roles.
• Hands-on with supervised/unsupervised learning, NLP, and LLMs.
• Experience with cloud platforms and orchestration frameworks.

Responsibilities

• Lead design and development of advanced data science models.
• Optimize ML models for performance and scalability.
• Collaborate with teams to integrate ML solutions.

Skills

Data science and machine learning

Python

Natural Language Processing (NLP)

AI/ML frameworks (Scikit-Learn, Numpy)

Prompt engineering

Education

Bachelor's Degree

Tools

AWS

Spark

LangChain

Job description

We are Omnissa. Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from-anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.

Job Description

Guided by our Core Values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we’re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we’d love to hear from you.

What is the opportunity?

Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. As a Senior Data Scientist you will lead and innovate within the data science team to drive significant advancements in our AI/ML and data analytics capabilities.

Responsibilities

• Lead 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 for exploring/querying data, visualization, and advanced analytics—including 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.

What will you bring to Omnissa?

• 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). Experience across multiple areas is strongly preferred.
• Highly proficient in Python and working knowledge of at least one other programming language such as Java or C++.
• Extensive experience with AI/ML frameworks and libraries such as Scikit‑Learn, Numpy, Pandas, SciPy, and 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 such as LangChain or 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 such as Spark or Ray.

Location

Mountain View, CA or Atlanta, GA (hybrid). Travel expectations: None.

Education

Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation

The typical base salary for this role is between USD $146,287 – $304,750 per year and may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid‑time off, growth opportunities, and more.

Equal Employment Opportunity Statement

Omnissa is an Equal Employment Opportunity company and prohibits discrimination and harassment of any kind. Omnissa is committed to the principle of equal employment opportunity and providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, nationality, gender, sexual orientation, age, disability, HIV status, or any other status protected by applicable laws or regulations.

Omnissa is not eligible for employment‑based immigration sponsorship.