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Remote Predictive Analytics Jobs in California (NOW HIRING)

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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 ...

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 ...

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 · 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 ...

D.W. Simpson

Actuarial Consultant - REMOTE

San Mateo, CA · On-site +1

$200K/yr

... analytics in pricing, risk rating, and operational modeling. The ideal candidate would be an ACAS ... predictive modeling and consulting, excellent communication skills, and the ability to embrace AI ...

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All JobsRemote Predictive Analytics JobsRemote Predictive Analytics Jobs in California

Remote Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Remote Predictive Analytics professional, and why are they important?

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.

What are remote predictive analytics jobs?

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.

How do remote predictive analytics professionals typically 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

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Posted 23 days ago

Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)

Apply