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Learning Solutions Jobs in Rancho Cordova, CA (NOW HIRING)

Careers at Teichert

Data Scientist

Sacramento, CA

The Data Scientist partners with business and technology stakeholders to identify opportunities, develop data science and machine learning models or AI solutions, and translate complex quantitative ...

Capio Group

Solution Architect

Sacramento, CA · On-site

$140 - $150/hr

We assist the Government in delivering large, complex systems and solutions. Capio Group is a small ... Machine Learning (AI/ML) for providing deeper insights, predictive analytics, and automated ...

Apex Systems

Solution Architect

Sacramento, CA · On-site

$68.50 - $90.50/hr

AWS cloud solutions * Enterprise integrations * Experience leading architecture through: * Design ... learning. We offer quality career resources, training, certifications, development opportunities ...

Crowe LLP

Machine Learning Intern

Sacramento, CA

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

... learning solutions The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience ...

Department of FISCal

Training Administrator

Sacramento, CA · On-site

$6.6K - $8.2K/mo

Would you like to empower FI$Cal users by delivering expert training, clear processes, and innovative learning solutions that build confidence and efficiency? Then this is a perfect opportunity for ...

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Showing results 21-40

All JobsLearning Solutions JobsLearning Solutions Jobs in Rancho Cordova, CA

Learning Solutions information

See Rancho Cordova, CA salary details

$5

$40

$51

How much do learning solutions jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for learning solutions in Rancho Cordova, CA is $40.82, according to ZipRecruiter salary data. Most workers in this role earn between $28.70 and $51.30 per hour, depending on experience, location, and employer.

What is a learning solution?

Learning Solutions refer to a range of strategies, tools, technologies, and services designed to support education, training, and professional development. These solutions can include e-learning courses, instructor-led training, blended learning, digital platforms, and performance support tools. Organizations use Learning Solutions to improve employee skills, onboard new hires, and ensure compliance with industry standards. The goal is to create effective and engaging learning experiences that drive personal and organizational growth.

What are the key skills and qualifications needed to thrive as a learning solutions specialist?

To thrive as a Learning Solutions Specialist, you need expertise in instructional design, adult learning theory, and program development, often supported by a degree in education, instructional technology, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools (such as Articulate or Captivate), and relevant certifications like CPLP or APTD is typically required. Exceptional communication, creativity, and project management skills help you collaborate effectively and design engaging learning experiences. These abilities are crucial for delivering impactful training solutions that enhance organizational performance and learner engagement.

How does a learning solutions professional typically collaborate with subject matter experts (SMEs) when developing training programs?

Learning Solutions professionals work closely with subject matter experts to design and develop effective training content. This collaboration often involves conducting needs assessments, gathering detailed information on complex topics, and translating technical or specialized knowledge into accessible, engaging learning materials. Regular meetings, feedback sessions, and iterative reviews ensure that the final learning solutions are accurate, relevant, and aligned with organizational goals. Building strong relationships and clear communication with SMEs is key to creating impactful training programs that meet learner needs.

What is the difference between Learning Solutions vs Learning and Development Specialist?

AspectLearning SolutionsLearning and Development Specialist
Required CredentialsTypically requires certifications in instructional design, e-learning tools, or training technologyOften requires a degree in education, HR, or related fields; certifications like CPLP are common
Work EnvironmentDesigning and implementing digital and blended learning programs, often in corporate or educational settingsFacilitating training sessions, conducting needs assessments, and developing learning strategies
Employer & Industry UsageUsed in corporate, educational, and e-learning companies focusing on technology-driven training solutionsCommon in HR departments, corporate training teams, and educational institutions

Learning Solutions professionals focus on designing and delivering digital and blended learning programs, often leveraging technology. Learning and Development Specialists typically handle training needs assessment, facilitation, and program development within organizations. While both roles aim to enhance employee or student learning, Learning Solutions emphasizes technical design, whereas Learning and Development Specialists focus on overall training strategy and delivery.

How do I become a learning solutions specialist?

To become a learning solutions specialist, candidates typically need a bachelor's degree in education, instructional design, or a related field. Relevant skills include expertise in e-learning tools, curriculum development, and understanding of adult learning principles, often supported by certifications like CPLP or ATD credentials. Gaining experience through internships or entry-level roles in training or instructional design can also be beneficial.

What cities near Rancho Cordova, CA are hiring for Learning Solutions jobs?

Cities near Rancho Cordova, CA with the most Learning Solutions job openings:

Learning Solutions jobs near you
Infographic showing various Learning Solutions job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $84,896 per year, or $40.8 per hour.

Data Scientist

Careers at Teichert

Sacramento, CA

Contractor

Posted 17 days ago

Job description

This is a contract position. Extension may be considered based on business need and performance, but there is no guarantee of permanent employment.

Purpose
This position is responsible for designing, building, validating, and deploying data science and AI solutions that enable data-driven decision-making across Teichert's business operations. The Data Scientist partners with business and technology stakeholders to identify opportunities, develop data science and machine learning models or AI solutions, and translate complex quantitative findings into actionable insights. This role sits within the Data & Technology Solutions division and contributes to the build-out of Teichert's enterprise data platform, data science, and AI capabilities. 
Focus & Scope
Essential duties and responsibilities, i.e. those which are basic, necessary, and an integral part of the job, are indicated below:
  1. Serves as a visible ambassador for AI and data science across the organization. 
  2. Develops, validates, and deploys analytics & data science models and agentic AI solutions using structured and unstructured data to address business challenges across operations, asset management, finance, and other functional areas. 
  3. Designs proof-of-concept frameworks with defined success criteria and evaluation metrics; scales successful POCs into repeatable, production-grade pipelines within Teichert's data platform. 
  4. Translates model outputs into actionable decision-support tools and communicates findings clearly to both technical and non-technical audiences, including senior leadership. 
  5. Collaborates with data engineering to define data ingestion, feature engineering, and model serving requirements; documents model logic, assumptions, data dependencies, and performance benchmarks. 
  6. Partners with business and technology stakeholders to identify, scope, and deliver data science and AI use cases; provides technical assessments of vendor-built models and third-party analytics tools as needed. 
 
Relationships, Qualifications and Requirements, & Competencies
Key Relationships 
Reports To:  
  • Senior Data, Analytics & AI Manager 
Direct Reports:  
  • None 
External Clients: 
  • Refineries and Trucking Companies 
Internal Clients: 
  • Data, Analytics & AI team members, Data & Technology Solutions teams, business leaders and stakeholders, AI Community of Practice members 
 
Role Qualifications & Requirements             
Education:  
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field. 

Experience and Industry Expertise:  
  • Minimum 5 years of hands-on experience building and deploying predictive models and machine learning solutions. 
  • Experience in asset-intensive industries such as construction, mining, energy, transportation, or manufacturing is preferred. 
 
Specific Job Requirements: 
  • Successful completion of pre-employment drug, alcohol, and background investigation. 
  • Ability to build trust and rapport quickly with employees at all levels, demystifying AI for non-technical audiences, and championing responsible adoption through day-to-day partnership. 
  • Strong programming skills in data science and AI/ML languages (e.g., Python or R), with fluency in core ML and AI libraries such as scikit-learn, XGBoost/LightGBM, and pandas. 
  • Skilled at leveraging pre-built and foundation models rather than building from scratch where appropriate; demonstrated ability to design and build agentic AI solutions (e.g., tool use, retrieval, multi-step orchestration) with appropriate guardrails and evaluation. 
  • Proficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort working with large-scale structured and semi-structured datasets. 
  • Deep understanding of model validation, evaluation metrics, feature engineering, and ability to identify and mitigate data leakage. 
  • Ability to explain findings, model performance and results, and recommendations clearly to diverse audiences and translate business problems into analytical frameworks. 
  • Ability to preserve confidential and proprietary information and successfully avoid conflicts of interest. 
  • Experience working effectively in cross-functional teams and establishing positive working relationships across functions and levels. 
  • Experience with MLOps/AIOps practices, version control tools (e.g., GitHub, Azure DevOps), Agile software development best practices, AI-assisted coding tools (e.g., Claude Code) to accelerate development; and data visualization platforms (e.g., Power BI, Tableau) preferred. 
  • Must be able to prioritize, manage multiple workstreams, and recognize when to seek direction. 

Competencies
  • Data, Analytics & AI 
  • Building Relationships 
  • Conflict Resolution 
  • Listening 
  • Initiative 
  • Dependability 
  • Judgement/Decision Making 
 
Equipment Used, Physical Demands, and Work Environment
Equipment Used:
  • General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses, hearing protection) when visiting plants.  
Physical Demands & Work Environment:    The physical demands and work environment characteristics are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  
  • Physical:  Sitting for long periods of time working on the computer or attending meetings. Job site visits require walking on uneven ground, steep slopes, and exposure to extreme temperature and/or humidity.  Some lifting of materials and equipment up to 20 lbs.  
  • Work Environment:  Typical office environment with adequate temperatures and lighting, low levels of noise. Demands of meeting tight deadlines. Exposed to the conditions of job sites which can include loud noise, dust, fumes, and extreme weather conditions prevalent at the time. May work various hours, including early mornings, dusk or evenings. 
 
BASE SALARY RANGE:
$116,667.00 - $163,333.00
The range displayed reflects the range the company reasonable expects to pay for the position. The actual base salary is subject to variation due to the role, level, geographic location, relevant education, training, or experience, among other factors.
Employer Disclosure Statement  
The above statements and job description is intended to describe the nature and level of work being performed within this job.  They are not intended to be an exhaustive list of all responsibilities, duties, and tasks.  Other similar or additional duties are performed as assigned.
Equal Opportunity Employer
Teichert and its subsidiaries pride themselves on being an Equal Opportunity Employer. Individuals seeking employment at our company are considered without regards to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state or local laws.
Applicants with disabilities may be entitled to reasonable accommodation.  A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the company.  If you are an applicant with a disability, please inform Robert Maxey (RMaxey@teichert.com) if you need assistance completing any forms or to otherwise participate in the application process.
Notice to Staffing Agencies
Teichert, Inc. and its subsidiaries (Teichert) will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Teichert, including unsolicited resumes sent to a Teichert mailing address, fax machine or email address, directly to Teichert employees, or to Teichert's resume database will be considered Teichert property. Teichert will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Teichert will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Teichert's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Teichert will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Teichert's Human Resources Representative or his/ her designee. No other Teichert employee is authorized to bind Teichert to any agreement regarding the placement of candidates by Agencies.

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