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Data Science Jobs in Rancho Cordova, CA (NOW HIRING)

AEG

Director, Data Science

Sacramento, CA · On-site

As part of the Business Intelligence team, the Director of Data Science will lead advanced analytics initiatives that translate complex data into actionable recommendations across ticketing, retail ...

Teichert

Data Scientist

Sacramento, CA · On-site

Serves as a visible ambassador for AI and data science across the organization. * Develops, validates, and deploys analytics & data science models and agentic AI solutions using structured and ...

Careers at Teichert

Data Scientist

Sacramento, CA · On-site

Serves as a visible ambassador for AI and data science across the organization. * Develops, validates, and deploys analytics & data science models and agentic AI solutions using structured and ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in business administration, data science, computer science, statistics, engineering, business analytics, or related field. * 8+ years of experience performing data analytics, business ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in business administration, data science, computer science, statistics, engineering, business analytics, or related field. * 8+ years of experience performing data analytics, business ...

Cordoba Corporation

Reporting Data Scientist

Sacramento, CA · On-site

$135K - $170K/yr

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely related field. * Demonstrated experience producing data analytics, modeling, and reporting ...

Agilent

IBP Supply Planning Data Scientist

Folsom, CA · On-site

Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field. * Typically, at least 8 years of experience in data science or equivalent work experience. * Extensive ...

Careers at Teichert

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is high-quality, well-governed, and ready to support analytics, AI, and business intelligence, and ...

Teichert

Data & AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is high-quality, well-governed, and ready to support analytics, AI, and business intelligence, and ...

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All JobsData Science JobsData Science Jobs in Rancho Cordova, CA

Data Science information

See Rancho Cordova, CA salary details

$40K

$130.9K

$209.6K

How much do data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science in Rancho Cordova, CA is $130,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $145,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Rancho Cordova, CA?

The most popular types of Data Science jobs in Rancho Cordova, CA are:

What are popular job titles related to Data Science jobs in Rancho Cordova, CA?

For Data Science jobs in Rancho Cordova, CA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Rancho Cordova, CA look for?

The top searched job categories for Data Science jobs in Rancho Cordova, CA are:

What cities near Rancho Cordova, CA are hiring for Data Science jobs?

Cities near Rancho Cordova, CA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,933 per year, or $62.9 per hour.

Director, Data Science

AEG

Sacramento, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Business Title: Director, Data ScienceDepartment: Business IntelligenceReports to: Vice President, Business IntelligenceFLSA Status: Full-Time, Exempt
Job SummaryThe Sacramento Kings are committed to using data and technology to better understand our fans, strengthen business performance, and improve decision-making across the organization. As part of the Business Intelligence team, the Director of Data Science will lead advanced analytics initiatives that translate complex data into actionable recommendations across ticketing, retail, marketing, and other areas of the business.This role will serve as a key analytical partner to leaders across the organization, with responsibility for ticket pricing, inventory management, revenue forecasting, and customer analytics. The Director will develop and maintain predictive and analytical solutions, build automated tools and data pipelines, and identify new opportunities to use data science and emerging technologies to improve business outcomes.The ideal candidate combines strong technical expertise with commercial judgment and the ability to communicate complex analytical concepts clearly to both technical and non-technical audiences. This position will also lead and develop members of the Business Intelligence team while remaining hands-on in the analysis, development, and implementation of solutions.
Key Responsibility Areas
  • Lead the development and execution of analytical strategies supporting ticketing revenue, including single-game dynamic pricing, season and plan pricing, inventory management, sell-through analysis, and revenue forecasting.
  • Develop analytical models and decision-support tools that identify pricing and inventory opportunities and provide actionable recommendations to Ticket Sales, Ticket Operations, Marketing, and organizational leadership.
  • Build, maintain, and enhance predictive and statistical models related to customer behavior, including areas such as retention, purchase propensity, demand forecasting, customer segmentation, and revenue optimization.
  • Conduct scenario analysis and ad-hoc analytical work to support time-sensitive business decisions and identify emerging revenue opportunities.
  • Develop automated solutions that improve the speed, accuracy, and scalability of recurring business processes, including ticket pricing, price code creation, inventory analysis, reporting, and other analytical workflows.
  • Design and maintain data pipelines that integrate business data from ticketing, retail, food & beverage, digital, and other third-party platforms into the organization's data environment.
  • Partner with internal technology resources and external data partners to ensure data used for analytics is accurate, timely, accessible, and appropriately structured.
  • Develop dashboards, reporting tools, and analytical frameworks that enable stakeholders to monitor performance, understand key business drivers, and make informed decisions.
  • Evaluate opportunities to apply machine learning, AI, optimization, and other emerging analytical techniques to business challenges where they can create measurable value or improve operational efficiency.
  • Lead, mentor, and develop direct reports within the Business Intelligence team, establishing clear priorities while supporting professional growth and technical development.
  • Foster collaboration and knowledge sharing across the Business Intelligence team, helping strengthen analytical capabilities and best practices throughout the department.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or another quantitative field; advanced degree preferred.
  • 8+ years of professional experience in data science, advanced analytics, business analytics, or a related quantitative field, with demonstrated experience using analytics to influence business decisions.
  • 3+ years of experience leading, managing, or mentoring analysts or data science professionals preferred.
  • Proficiency in SQL as well as Python and/or R, with demonstrated experience developing production-quality analytical models, automated workflows, and data solutions.
  • Strong understanding of statistical modeling, forecasting, optimization, experimentation, and machine learning techniques, with the ability to select methodologies appropriate to the business problem.
  • Experience developing analytical solutions that have influenced pricing, revenue management, inventory optimization, customer behavior, marketing, or other commercial decisions.
  • Experience working with relational databases, cloud data platforms, data warehouses, and data integration processes.
  • Experience with Tableau or similar business intelligence and data visualization platforms.
  • Strong understanding of analytical development practices, including model validation, documentation, reproducibility, version control, and code quality.
  • Strong business acumen and curiosity, with the ability to understand business problems before determining the appropriate analytical solution.
  • Ability to manage multiple priorities and balance longer-term analytical development with time-sensitive business needs.
  • Experience in sports, entertainment, ticketing, retail, hospitality, or another dynamic consumer business preferred.
  • Familiarity with Ticketmaster Archtics/Host or other ticketing platforms preferred.

Compensation:Base Salary Range: $110,000-$140,000, plus eligibility for an annual discretionary bonus.
Total Rewards Package:In addition to a competitive compensation package, we offer a comprehensive suite of benefits designed to support your health, financial well-being, and work-life balance, including:
  • Medical, dental, and vision coverage for employees and eligible dependents
  • 401(k) with company matching contributions
  • Self-Directed Time Off, 11 paid holidays, and Summer Fridays
  • Paid parental leave
  • Company-paid life insurance and long-term disability coverage
  • Employee Assistance Program and wellness resources
  • Cell phone stipend
  • Sacramento Kings season tickets, concert access, team store discounts, parking, and other exclusive team member perks
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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