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Entry Level Algorithm Jobs in California (NOW HIRING)

... algorithms and machine learning techniques to solve complex business problems - Building data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The pay range provided is not indicative of Sysco's actual pay range but is merely algorithmic and ... Career pathing opportunities for both entry level, and experienced individuals * Opportunity to be ...

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Entry Level Algorithm information

What are entry level algorithm jobs?

Entry level algorithm jobs are positions for individuals who are beginning their careers in developing, analyzing, and implementing algorithms. These roles typically involve tasks such as writing code, optimizing existing algorithms, and supporting senior engineers in solving computational problems. They are common in industries like software development, finance, and data science, and usually require a background in computer science or a related field. Candidates are expected to have foundational knowledge in programming languages and basic data structures and algorithms.

What are the key skills and qualifications needed to thrive as an Entry Level Algorithm Engineer, and why are they important?

To thrive as an Entry Level Algorithm Engineer, you need a solid background in computer science fundamentals, mathematics (especially statistics and linear algebra), and programming, typically demonstrated by a relevant degree or coursework. Familiarity with coding languages like Python or C++, version control systems such as Git, and experience with algorithm analysis tools are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you stand out in this position. These skills and qualities are essential for efficiently designing, optimizing, and implementing algorithms that solve complex problems within collaborative engineering environments.

What is the difference between Entry Level Algorithm vs Data Analyst?

AspectEntry Level AlgorithmData Analyst
Required CredentialsBachelor's in CS, Math, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; proficiency in data tools
Work EnvironmentTech companies, research labs, software development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageUsed in software development, AI, and machine learning projectsUsed for interpreting data, generating reports, and supporting decision-making

Entry Level Algorithm roles focus on developing and optimizing algorithms primarily in tech and research settings, requiring programming skills and mathematical knowledge. Data Analysts interpret data to help businesses make informed decisions, often using statistical tools. While both roles involve working with data and require similar educational backgrounds, their core functions and work environments differ significantly.

What are some typical projects or tasks an entry-level algorithm engineer might work on during their first year?

As an entry-level algorithm engineer, you can expect to work on tasks such as implementing and optimizing basic algorithms, analyzing data to improve existing solutions, and collaborating with more senior engineers on larger projects. Common responsibilities include debugging code, running performance tests, and contributing to documentation. You may also be involved in team meetings to review algorithmic approaches and brainstorm new solutions, offering a valuable opportunity to learn from experienced colleagues and develop your technical skills.
What are the most commonly searched types of Algorithm jobs in California? The most popular types of Algorithm jobs in California are:
What are popular job titles related to Entry Level Algorithm jobs in California? For Entry Level Algorithm jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithm jobs in California look for? The top searched job categories for Entry Level Algorithm jobs in California are:
Infographic showing various Entry Level Algorithm job openings in California as of July 2026, with employment types broken down into 2% Locum Tenens, 64% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 10% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.
CTIO - AI Engineer - Experienced Associate

CTIO - AI Engineer - Experienced Associate

Pwc

Sacramento, CA • On-site

$50K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

The Opportunity
As a CTIO - AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Internal Firm Services practice, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You are expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. As you navigate through the firm, you build a brand for yourself, opening doors to more opportunities.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Applying data science algorithms and machine learning techniques to solve complex business problems
- Building data pipelines and confirming data quality for informed decision-making
- Conducting exploratory and descriptive analysis to inform strategic decisions
- Developing predictive models using programming languages such as R and MATLAB
- Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
- Collaborating with team members to adapt to varying client challenges and scopes
- Taking ownership of projects and consistently delivering quality work that drives client value
- Engaging in active listening and communication to appreciate diverse perspectives and needs
- Upholding professional and technical standards while adhering to the Firm's code of conduct
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Applying programming skills in MATLAB and R for data solutions
- Engaging in data-driven decision making and statistical analysis
- Leveraging experience with TensorFlow and Scikit-Learn libraries

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $50,500 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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