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Remote Data Science Jobs in Milpitas, CA (NOW HIRING)

Senior Data Scientist

Mountain View, CA · On-site +1

$146K - $304K/yr

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 ...

Data Scientist

Santa Clara, CA · On-site +1

$119K - $164K/yr

If you want to push the boundaries of materials science and engineering to create next generation ... Collect data from multiple sources, filter anomalies, and clean unstructured data to ensure ...

Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders ... Experience applying AI to accelerate data science work by designing prompts, rigorously evaluating ...

Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations-defining priorities and appropriate structures for ...

Senior Data Scientist

Mountain View, CA · On-site +1

$121K - $198K/yr

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 8+ years of experience in data science or analytics, leading analytics work ...

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for FY27. This individual will partner with marketing stakeholders to define and measure key business ...

Director Data Science + Analytics Job Type: Full-time, W2 About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework ...

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on ... Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ...

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on ... Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ...

About Karius Karius is a life science, venture-backed clinical metagenomics company, focused on ... Redwood City, CA or Remote Primary Responsibilities * Own EHR data extraction specifications for ...

If you want to push the boundaries of materials science and engineering to create next generation ... Applied Materials' Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Bachelor's in Computer Science, Engineering, or related field (Master's preferred) * 5+ years with Python and SQL in data engineering for big data ML/analytics workloads * 5+ years designing ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Bachelor's in Computer Science, Engineering, or related field (Master's preferred) * 5+ years with Python and SQL in data engineering for big data ML/analytics workloads * 5+ years designing ...

Showing results 21-40

Remote Data Science information

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Milpitas, CA? The most popular types of Data Science jobs in Milpitas, CA are:
What job categories do people searching Remote Data Science jobs in Milpitas, CA look for? The top searched job categories for Remote Data Science jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Remote Data Science jobs? Cities near Milpitas, CA with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

Omnissa

Mountain View, CA • On-site, Remote

$146K - $304K/yr

Full-time

Medical, Retirement

Re-posted 12 days ago


Job description

Job Description:

We areOmnissa!
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 Appsand Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement whileoptimizingIT operations, security, and cost.
Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we'regrowing rapidly and committed to delivering meaningful impact. Ifyou'repassionate about shaping the future of work,we'dlove to hear from you.

AtOmnissa, we are committed tomaintaininga fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respectforcandidate privacy.


What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
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. This is a hands-on role, and you will be expected to develop AI/ML based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company's vision through advanced analytics, machine learning, and artificial intelligence. You'll work closely with engineering and product teams to operationalize models across our cloud scale environment
while driving best in class ML engineering practices. Here's a breakdown:

  • 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), Retreival 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 one or more of the following areas is required; experience across multiple areas is strongly preferred: 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, of Google Cloud for development and deployment of scalable AI/ML models.
  • Experience with distributed computing frameworks (e.g., Spark, Ray).

Location:Mountain View, CA or Atlanta, GA
Location Type: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 betweenUSD $146,287- $304,750per year and it 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,Omnissaoffers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth opportunities, and more.

Omnissais an EqualEmploymentOpportunitycompanyandProhibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions atOmnissaare based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.Omnissawill not tolerate discrimination or harassment based on any of these characteristics.Omnissawelcomes applicants of all ages.Omnissawill provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal,stateand local law.

This job requisition is not eligible for employment-based immigration sponsorship byOmnissa.