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Data Science Visualization Jobs in Folsom, CA (NOW HIRING)

Teichert

Data Scientist

Sacramento, CA · On-site

Serves as a visible ambassador for AI and data science across the organization. * Develops ... data visualization platforms (e.g., Power BI, Tableau) preferred. * Must be able to prioritize ...

Careers at Teichert

Data Scientist

Sacramento, CA

Serves as a visible ambassador for AI and data science across the organization. * Develops ... data visualization platforms (e.g., Power BI, Tableau) preferred. * Must be able to prioritize ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

... and visualization initiatives within a Project Controls organization. This is a long-term ... Master's degree in business administration, data science, computer science, statistics, engineering ...

Cordoba Corporation

Reporting Data Scientist

Sacramento, CA · On-site

$135K - $170K/yr

... visualization tools (e.g., Power BI dashboards) that communicate performance, trends, and risks ... Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ...

Cordoba Corporation

Reporting Data Scientist

Sacramento, CA · On-site

$135K - $170K/yr

... visualization tools (e.g., Power BI dashboards) that communicate performance, trends, and risks ... Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ...

Cordoba Corporation

Reporting Data Scientist

Sacramento, CA · On-site

$135K - $170K/yr

... visualization tools (e.g., Power BI dashboards) that communicate performance, trends, and risks ... Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ...

New

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 ... and data visualization platforms (e.g., Power BI, Tableau) preferred. * Ability to collaborate ...

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 ... and data visualization platforms (e.g., Power BI, Tableau) preferred. * Ability to collaborate ...

Pwc

ERP AI Engineer - Manager

Sacramento, CA · On-site

$99K - $232K/yr

... Data Visualization, and Oracle Machine Learning. Enhancing your leadership style, you motivate ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Teichert

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field ... data visualization platforms (e.g., Power BI, Tableau) preferred. * Must be able to prioritize ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Folsom, CA

Data Science Visualization information

See Folsom, CA salary details

$57.7K

$117K

$172.7K

How much do data science visualization jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data science visualization in Folsom, CA is $117,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $131,500.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

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

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Folsom, CA?

For Data Science Visualization jobs in Folsom, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Folsom, CA look for?

The top searched job categories for Data Science Visualization jobs in Folsom, CA are:

What cities near Folsom, CA are hiring for Data Science Visualization jobs?

Cities near Folsom, CA with the most Data Science Visualization job openings:

Data Science Visualization jobs near you

Data Scientist

Teichert

Sacramento, CA • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position 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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