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Remote Predictive Analytics Jobs in California (NOW HIRING)

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

... predictive analytics, conversational intelligence, and more. Our mission is to build the world ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

... predictive analytics, conversational intelligence, and more. Our mission is to build the world ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health ...

Catasys Health

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... abnormality detection, predictive analysis, market segmentation, and competitive analysis ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive models * Build features for predictive models * Partner with data analysts to integrate the results ...

Protouch Staffing

Staff Attorney

San Francisco, CA · On-site +1

$72K - $105K/yr

Remote or Onsite (depending on candidate preference and location) Employment Type: Full-Time We are ... Review, analyze, and code discovery documents in accordance with established review protocols.

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Remote Predictive Analytics information

What is remote predictive analytics?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

What skills and qualifications are needed for remote predictive analytics?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

How do remote predictive analytics professionals collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What are popular job titles related to Remote Predictive Analytics jobs in California?

For Remote Predictive Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Analytics jobs in California look for?

The top searched job categories for Remote Predictive Analytics jobs in California are:

What cities in California are hiring for Remote Predictive Analytics jobs?

Cities in California with the most Remote Predictive Analytics job openings:

Remote Predictive Analytics jobs near you

Machine Learning Engineer : 26-02588

Pleasanton, CA • On-site, Remote

Akraya Inc.
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Akraya Inc.external

$55 - $60/hr

Temporary

Posted 11 days ago

Job description


Primary Skills: Machine Learning (Expert), Python & SQL (Expert), Deep Learning & NLP (Advanced), Azure AI/ML (Advanced), MLOps & DevOps (Advanced)
Contract Type: W2 Only
Duration: 6+ Months
Location: Pleasanton, CA. Hybrid/Remote (Must Support PST Hours)
Pay Range:$55 - $60 on W2
Job Summary:
We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and optimize scalable machine learning solutions for enterprise applications. The ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and cloud-based AI platforms, with hands-on experience deploying production-ready ML models using Azure and MLOps best practices.
Key Responsibilities:
  • Design, develop, train, and deploy machine learning models for predictive analytics and intelligent automation.
  • Build and optimize supervised and unsupervised learning models to solve complex business problems.
  • Develop deep learning solutions using neural networks and NLP techniques.
  • Create data pipelines for feature engineering, model training, validation, and inference.
  • Deploy, monitor, and maintain ML models using Azure cloud services and MLOps best practices.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable AI solutions.
  • Optimize model performance, accuracy, scalability, and reliability through continuous experimentation and tuning.
  • Develop reusable Python libraries, APIs, and automation scripts for ML workflows.
  • Implement CI/CD pipelines and DevOps practices for model deployment, versioning, and lifecycle management.
  • Document technical designs, model architectures, and deployment processes while following enterprise development standards.
Must-have Skills:
  • 5+ years of experience developing and deploying Machine Learning solutions.
  • Strong expertise in Supervised and Unsupervised Machine Learning Algorithms.
  • Hands-on experience with Neural Networks and Natural Language Processing (NLP).
  • Advanced programming skills in Python, SQL, and R.
  • Experience with machine learning frameworks including TensorFlow, Keras, and PyTorch.
  • Strong experience with Microsoft Azure AI/ML services and cloud-based model deployment.
  • Hands-on knowledge of DevOps and MLOps practices, including CI/CD pipelines and model lifecycle management.
  • Experience with data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating with cross-functional technical teams.
Nice-to-have Skills:
  • Experience with Azure Machine Learning, Azure Databricks, or Azure OpenAI Services.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Experience building REST APIs for ML model serving.
  • Knowledge of Git, version control, and automated deployment pipelines.
  • Experience working in Agile/Scrum environments and enterprise AI initiatives.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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