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

Pwc

CTIO - AI Engineer- Senior Manager

Sacramento, CA · On-site

$91K - $321K/yr

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...

Pwc

ERP AI Engineer - Manager

Sacramento, CA · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Deloitte

Lead Forward Deployed Engineer - AWS

Sacramento, CA · On-site

$109K - $144K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

Deloitte

Senior Forward Deployed Engineer- AWS

Sacramento, CA · On-site

$111K - $153K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

Deloitte

Forward Deployed Engineer- AWS

Sacramento, CA · On-site

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ ...

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All JobsData Science JobsData Science Jobs in Rancho Cordova, CA

Data Science information

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$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

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

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

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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.

Market Development Analyst (Hybrid)

California ISO

Folsom, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Company Description
The California Independent System Operator (ISO) manages the flow of electricity across the high-voltage, long-distance power lines that make up 80 percent of California's power grid. We safeguard the economy and well-being of 30 million Californians by operating the grid reliably 24/7.
As the impartial grid operator, the California ISO opens access to the wholesale power market that is designed to diversify resources and lower prices. It also grants equal access to 25,865 circuit-miles of power lines and reduces barriers to diverse resources competing to bring power to customers.
The California ISO's function is often compared to that of air traffic controllers. It would be grossly unfair for air traffic controllers to represent one airline and profit from allowing that company's planes to go through before others. In the same way, the California ISO operates independently-managing the electron traffic on a power grid we do not own-making sure electricity is safely delivered to utilities and consumers on time and reliably.
The California ISO is committed to the health, safety, and work/life integration of its employees, and is proud to offer flexible work arrangements. This position is available in a hybrid schedule.
Relocation assistance is available.
Job Description
Under the general direction of the Manager, responsible for the advanced analytics needed to support the ISO's data-driven policy decisions and development of market design. Analyzes large sets of energy market data, identifying trends and patterns, providing insights to support business decisions. Participates in market design and development efforts to ensure policy and software business rules and processes provide intended solutions. Uses optimization principles and techniques to assess market solutions and model formulations. Uses data science techniques for predictive and descriptive analytics of energy market, reliability services, pricing, and evaluates the performance of energy market design to support the real - time operations and market operations for the California ISO
PRINCIPAL DUTIES AND RESPONSIBILITIES
  • Develops data science algorithms for predictive analytics and supports the successful development of market design and policies. Performs descriptive analytics for the energy market including day-ahead and real-time, energy and reliability services, congestion revenue rights as well as operational performance. Develops and implements business solutions such as new market products and/or new market constraints and procedures. Works on moderately complex engineering problems and provides engineering support in the market software as needed to determine optimality of market solutions.
  • Supports the production activities for default energy bid (DEB) calculations, commitment costs, including complex analysis of all components of the default bids and commitment costs, to ensure the accuracy of the inputs and the calculation of the bids, and its impact on the market outcomes. Leverages engineering principles, production cost modeling, and generation simulation to evaluate market participant requests for adjustments to major maintenance adders, while analyzing resource operating characteristics, market operations, and price volatility. Utilizes complex mathematical optimization models to compute opportunity costs for gas-based units, ensuring adherence to ISO Tariff regulations and business practice manuals. Supports the evaluation and negotiation of custom DEBs and opportunity costs, balancing analytical precision with market compliance to optimize overall market efficiency and operational performance.
  • Monitors, analyzes and reports on market results, its efficiency and effectiveness. Monitors and detects emerging market trends, such as prices and cost spikes, and identify root causes of market design gaps. May develop and implement long-term market metrics and identify systemic market issues. Develops and presents reports; builds interactive dashboards, and visualizations to communicate insights and trends.
  • Participates in cross functional teams as assigned. Collaborates with market participants, regulators and other stakeholders to develop analytics to support business decisions and market design. Provides technical, analytical and reporting support to internal business units and external entities.
  • Supports the development of new data-driven products and services related to energy markets. Stays up-to-date with the latest developments in energy markets, data science, and technology.

Qualifications
Level of Education and Discipline:
  • Bachelor's degree (BA, BS) or equivalent education, training or experience in Electrical Engineering, Data Science, Computer Science, Statistics, Mathematics, Economics or related field. Master Degree preferred.

Amount of Experience:
  • Equivalent years of education and training, plus two (2) or more years related experience.

Type of Experience
  • Strong analytical and quantitative skills, with experience in data science.
  • Knowledge of energy markets, energy policies, and regulations.
  • Exposure and experience with applied optimization principles and techniques, power system operations and market design.
  • Experience with programming languages such as R, Python, or SQL.
  • Familiarity with data visualization tools and techniques.

Additional Skills and Abilities:
  • Strong verbal and written communication and documentation skills required, with a demonstrated attention to detail. Ability to use deductive reasoning and analytical thinking with sound judgment and decision-making skills. Strong interpersonal and conflict resolution skills are also essential. Must be self-starting and willing and able to work independently in a dynamic corporate organization under pressure of tight deadlines and aggressive expectations. Problem solving skills with the ability to influence others without direct authority. Must be able to work effectively in a team environment as facilitator and team member. Must be proficient with Microsoft Office Suite.
  • Strong mathematical analytical skills are required, including the ability to communicate effectively complex technical and mathematical materials and concepts.

Additional Information
The pay range for the Market Development Analyst position is $45.10 - $63.15 per hour.

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