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Remote Data Scientist Jobs in Spring Valley, CA (NOW HIRING)

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Preferred Qualifications * BS or MS in Engineering/ Computer Science * Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage. * Knowledge of infrastructure as ...

Machine Learning Engineer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

Director, Clinical Science

San Diego, CA · On-site +1

$236K - $255K/yr

Perform clinical data review and identify clinical data insights through ongoing patient level ... Remote permitted upon approval, with ability to travel up to 25% for meetings or site visits as ...

Director, Clinical Science

San Diego, CA · On-site +1

$236K - $255K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform clinical data review and identify clinical data insights through ongoing patient level ... Remote permitted upon approval, with ability to travel up to 25% for meetings or site visits as ...

Director, Clinical Science

San Diego, CA · On-site +1

$84K - $115K/yr

  • Medical

  • Life

  • Retirement

  • PTO

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... Leadership position for writing clinical and data analysis reports, slide presentations ...

Senior Product Designer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Employees based in San Diego split their time between home and our headquarters, while remote ... You will work closely with Product Managers, Engineers, Clinical SMEs, and the Data Science team to ...

Senior Product Designer

San Diego, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Employees based in San Diego split their time between home and our headquarters, while remote ... You will work closely with Product Managers, Engineers, Clinical SMEs, and the Data Science team to ...

... remote position. * Must be authorized to work in the United States without current or future visa sponsorship. Preferred Skills : * Master's degree in Computer Science, Applied Mathematics, Data ...

... remote position. * Must be authorized to work in the United States without current or future visa sponsorship. Preferred Skills : * Master's degree in Computer Science, Applied Mathematics, Data ...

Showing results 41-60

Remote Data Scientist information

See Spring Valley, CA salary details

$38.4K

$125.6K

$201.1K

How much do remote data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data scientist in Spring Valley, CA is $125,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $139,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Spring Valley, CA?

The most popular types of Data Scientist jobs in Spring Valley, CA are:

What are popular job titles related to Remote Data Scientist jobs in Spring Valley, CA?

For Remote Data Scientist jobs in Spring Valley, CA, the most frequently searched job titles are:

What cities near Spring Valley, CA are hiring for Remote Data Scientist jobs?

Cities near Spring Valley, CA with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Spring Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,582 per year, or $60.4 per hour.

Machine Learning Engineer

AbbVie

San Diego, CA • On-site, Remote

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

15th of 86 rated pharmaceutical


Job description

Company Description
About AbbVie
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.
Job Description
Responsibilities
  • Own small to medium components of machine learning systems from technical designthrough implementation and delivery
  • Translate technical requirements into high-quality, maintainable code and deliver workstreamsaccording to plan
  • Build and maintain data pipelines and feature engineering workflows to support machinelearning and AI solutions
  • Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices
  • Implement ML solutions that can be deployed into production environments as microservices,APIs, batch jobs, or streaming components
  • Support production monitoring efforts by helping define and implement metrics for modelperformance, data drift, anomalies, and retraining triggers
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness stakeholders to deliver project objectives
  • Understand system design, data models, and technical artifacts well enough to contribute toimplementation decisions and tradeoffs
  • Follow governance, documentation, coding, and source control standards consistently
  • Demonstrate flexibility and proactively support teammates with day-to-day responsibilities asneeded
  • Clearly document and communicate work progress, technical decisions, and outcomes totechnical and non-technical audiences

Qualifications
Required Experience & Skills
  • Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science,Engineering, Operations Research, or other quantitative field
  • 3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python
  • Strong programming skills in Python and solid understanding of core computer scienceprinciples
  • Experience with data manipulation frameworks such as Pandas and PySpark
  • Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras, PyTorch, or MLlib
  • Experience with MLOps practices such as automated model deployment, model performancemonitoring, data drift detection
  • Working knowledge of SQL and relational data structures
  • Ability to design, train, and evaluate machine learning models using standard best practicessuch as model selection, validation, bias/variance tradeoffs, and performance assessment
  • Familiarity with batch and streaming data pipeline concepts such as ETL, ELT, and stream processing
  • Experience working with cloud environments, preferably AWS
  • Familiarity with technologies such as APIs, microservices, Docker, and Kubernetes
  • Strong interpersonal, verbal, and written communication skills
  • Ability to work effectively in a remote environment using collaboration tools

Preferred Experience & Skills
  • Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
  • Experience with managing and architecting solutions on AWS
  • Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production
  • Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes,
  • EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

What AbbVie employees say

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Benefits

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AbbVie logo

About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013