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Computer Science Data Science Jobs in Century City, CA

Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field * Five years of relevant experience in data science, analytics ...

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

Our Data Science team works very closely with Sales and Marketing, and in this position you will maintain and extend existing statistical and machine-learning work that informs how we window, price ...

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ...

Manager of Data Science

Burbank, CA · On-site

$135 - $150/hr

Education / Certifications * 1) Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field. #J-18808-Ljbffr

Ready to be a Titan? We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and the post-sales product ...

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ...

Showing results 21-40

Computer Science Data Science information

See Century City, CA salary details

$41.5K

$135.8K

$217.3K

How much do computer science data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science data science in Century City, CA is $135,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $150,400.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What cities near Century City, CA are hiring for Computer Science Data Science jobs?

Cities near Century City, CA with the most Computer Science Data Science job openings:

Infographic showing various Computer Science Data Science job openings in Century City, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,753 per year, or $65.3 per hour.

Sr P&C Data Scientist

Brookfield

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 hours ago


Job description

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors lessexperienced team members and contributes to the continued maturation of the pricing analytics function.


Key Responsibilities

Pricing & Insurance Analytics

  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution

  • Own the endtoend analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills

  • Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication

  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decisionmaking by framing tradeoffs, risks, and opportunities using datadriven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and crossfunctional leadership

Coaching & Continuous Improvement

  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications

  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to realworld business problems
  • Strong analytical judgment, problemsolving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications

  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, treebased models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level

  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Albany & Chicago Pay Range $102,000 - $152,000

Los Angeles & New York City Pay Range $112,000 - $160,000


PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.


If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.


Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.


Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.