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

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Snowflake Data Engineer

Irvine, CA · On-site +1

$122K - $147K/yr

Qualifications: • Bachelor's degree from an accredited college or university in computer science, information systems, or a related field • Proven experience as a Snowflake Data Engineer or in a ...

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... data management * Bachelor's degree in Computer Science, Engineering, or a related field, or ...

Participate in client meetings and perform site visits for data gathering as required * Interpret ... Knowledge of the practical application of engineering science and technology, including the ability ...

Salary: 100k - 125k Annual Software Engineer Flash Biometrics | Hybrid/Remote Claremont, CA Salary ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

IT Systems Administrator

Anaheim, CA · Remote

$80K - $120K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_HYBRID Description SAIC is hiring for a Systems Administrator ...

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Showing results 1-20

Remote Data Science information

See Riverside, CA salary details

$23.7K

$105.5K

$201.3K

How much do remote data science jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data science in Riverside, CA is $105,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,493.00 and $146,323.00 per year, depending on experience, location, and employer.

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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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).

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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Remote Data Science jobs in Riverside, CA? For Remote Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Riverside, CA look for? The top searched job categories for Remote Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science jobs? Cities near Riverside, CA with the most Remote Data Science job openings:
Senior ML Engineer

Senior ML Engineer

Invoca

Anaheim, CA • On-site, Remote

$109K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Senior ML Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Team

The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects.

About the Role

We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack — model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers.

Core Focus & Primary Ownership

  • Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
  • Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.

Broader Contributions

  • Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
  • Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
  • Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
  • Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

What You Bring

  • 5+ years of ML Engineering experience with a strong production focus
  • Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
  • Demonstrated track record deploying and maintaining transformer-based NLP models in production
  • Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
  • Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
  • Experience building production-grade APIs that expose ML models to downstream consumers
  • Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
  • B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus
  • Familiarity with RLHF or preference training is a bonus

📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area

Canada: Toronto (AI/ML technical roles only)

Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.

Please note that we are unable to provide initial visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.

  • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
  • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
  • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
  • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock Options – All employees are invited to share in Invoca's success through stock options.
  • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
  • Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
  • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
  • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
  • Position Base Range - Salary Range $152,000 - $228,000 USD plus bonus + equity

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