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Temporary Data Science R Jobs in Los Angeles, CA

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Proficiency in using Python, R, or similar mathematical programming languages for advanced ...

Caltech

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to ... Strong programming skills in Python and R * Background in algebraic geometry, computational algebra ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Quality Assurance & Best Practices - Establish and enforce best practices in data science ... Advanced programming skills in Python, R, and SQL for model development and data processing.

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

... data science, analytics, or a related quantitative role. * Working knowledge of SQL and experience querying large datasets. * Proficiency in Python or R for data analysis. * Foundational ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... R • Experience with machine learning algorithms and statistical modeling techniques • Strong ...

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Temporary Data Science R information

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$40.4K

$132.3K

$211.7K

How much do temporary data science r jobs pay per year?

As of Jul 30, 2026, the average yearly pay for temporary data science r in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What are the most commonly searched types of Data Science R jobs in Los Angeles, CA? The most popular types of Data Science R jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Temporary Data Science R jobs? Cities near Los Angeles, CA with the most Temporary Data Science R job openings:
Temporary Data Science R jobs near you

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 26 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms