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Flexible Data Coding Jobs in California (NOW HIRING)

Covalent

Data Scientist

Sunnyvale, CA · On-site

Preferred Qualifications We are intentionally flexible on formal credentials. Strong candidates may ... Writing code to process, analyze, or automate data workflows It's a plus if you have experience ...

TabaPay

Data Engineer

Palo Alto, CA · On-site

$130K/yr

Proficient in writing production-quality code in Python. Go would be a plus. * Strong debugging ... Generous and Flexible PTO EEO Employer: TabaPay is an equal opportunity employer; all qualified ...

Pave

Data Scientist

San Francisco, CA

$139K - $174K/yr

Experience with data tools like dbt, Hex, Claude code * Experience building customer-facing data ... Flexible PTO and the freedom to work from anywhere in the world for up to a month - because life ...

Taboola

Senior Data Scientist

Los Angeles, CA · On-site

Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL ... equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental ...

Skechers USA Ltd.

Data Scientist

Manhattan Beach, CA · On-site

Write production-grade, clean, maintainable, and scalable code for running experiments and proofs ... flexible, team-oriented environment.* Ability to independently conduct in-depth data analysis.

Taboola

Senior Data Scientist

Los Angeles, CA · On-site

Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL ... equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental ...

Skechers

Data Scientist

Manhattan Beach, CA

Write production-grade, clean, maintainable, and scalable code for running experiments and proofs ... flexible, team-oriented environment. * Ability to independently conduct in-depth data analysis.

Skechers

Data Scientist

Manhattan Beach, CA · On-site

Write production-grade, clean, maintainable, and scalable code for running experiments and proofs ... flexible, team-oriented environment. * Ability to independently conduct in-depth data analysis.

Skechers USA, Inc.

Data Scientist

Hermosa Beach, CA · On-site

Write production-grade, clean, maintainable, and scalable code for running experiments and proofs ... flexible, team-oriented environment.Ability to independently conduct in-depth data analysis.

Skechers

Data Scientist

Manhattan Beach, CA

Write production-grade, clean, maintainable, and scalable code for running experiments and proofs ... flexible, team-oriented environment. * Ability to independently conduct in-depth data analysis.

Yum

Data Engineer

Irvine, CA · On-site

$34.47 - $38.46/hr

Participate in code reviews * Document database design, architecture, and processes * Implement and ... Flexible working in a variety of IDEs such as visual studio, snowflake, and others * Exposure to ...

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Flexible Data Coding information

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

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

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the most commonly searched types of Data Coding jobs in California?

The most popular types of Data Coding jobs in California are:

What cities in California are hiring for Flexible Data Coding jobs?

Cities in California with the most Flexible Data Coding job openings:

Flexible Data Coding jobs near you

Data Scientist

Sunnyvale, CA • On-site

Covalent
11 - 50 employees
Learn more about Covalentexternal

Other

Re-posted 22 days ago

Job description

We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven software systems. This role is in our software organization and collaborates closely with scientists, engineers, and business stakeholders to translate scientific workflows into productized analytical tools and data-informed systems.

The role combines hands-on scientific data analysis and cross-functional problem solving. You will be expected to engage deeply with how data is generated, interpreted, and used — both in laboratory contexts and in broader business and operational systems that depend on scientific understanding.

This position is well suited for someone with strong analytical instincts, a background in experimental physics, chemistry, or materials science, experience working with experimental or instrument-generated data, and the ability to apply data science techniques in environments where domain context matters as much as algorithms.

Key Responsibilities

Design and implement exploratory data analyses, proof-of-concept tools, and applied machine learning solutions to address scientific, operational, and analytical problems.

Provide scientific and analytical subject matter expertise for data-driven tools that intersect scientific workflows and business processes, ensuring domain assumptions are correctly represented.

Analyze and interpret data generated by laboratory instruments and measurement workflows, developing analytical methods, models, and visualizations grounded in experimental reality.

Collaborate with laboratory staff to identify data quality issues, sources of variability, and opportunities for improved measurement, analysis, or automation.

Contribute to the design and evolution of data pipelines, databases, and structured metadata systems supporting both laboratory and operational data.

Translate ambiguous scientific and operational questions into well-defined analytical problems and propose data-driven approaches to address them.

Communicate findings, assumptions, and limitations clearly to scientists, engineers, and non-technical stakeholders.

Preferred Qualifications

We are intentionally flexible on formal credentials. Strong candidates may come from academic research, measurements in technical industries, or applied data science.

You should have experience with:
  • Hands-on data analysis using Python, SQL, or similar tools
  • Working with experimental, instrument-generated, imaging, or sensor data
  • Exploratory data analysis, statistical reasoning, and visualization
  • Writing code to process, analyze, or automate data workflows
It’s a plus if you have experience with:
  • Machine learning applied to real-world scientific or experimental problems
  • Imaging, signal processing, or high-dimensional data
  • Cloud-based data tools, databases, or ETL pipelines
  • Large language model technologies, or agentic workflow development
Who Will Thrive HereThis role is a strong fit if you:
  • Are comfortable taking ownership of ambiguous, domain-heavy problems
  • Enjoy working close to real instruments, experiments, and physical systems
  • Can move between scientific detail and higher-level system thinking
  • Communicate effectively with both scientists and non-technical stakeholders
  • Want to apply data science in contexts where correctness, assumptions, and interpretation truly matter

You may have a background in scientific research, applied machine learning, or engineering, and be motivated by roles where scientific understanding is a core part of technical decision-making.

Why Join Us
  • Work on data-driven problems rooted in real physical measurement systems
  • Influence both scientific workflows and business-facing systems
  • Collaborate across laboratory, software, and operations teams
  • Tackle problems where domain insight is as important as technical skill
  • Grow into deeper technical and domain ownership over time
Why Join Covalent

At Covalent, you’ll work alongside world-class scientists and engineers in a dynamic, collaborative environment. We empower our team members to take ownership of their work, innovate constantly, and engage directly with customers, shaping the future of technology.

The pay range for this role is:

110,000 - 190,000 USD per year (Covalent Sunnyvale)

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