Enter a job title or keyword
Data Scientist
Job Location:
Job Location:
Sacramento, CA - USA
Monthly Salary:
$ 116667 - 163333
Monthly Salary:
Posted:
21 August 2026 (23 hours ago)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 Teicherts 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 Teicherts 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:
- 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 unstructured data to address business challenges across operations asset management finance and other functional areas.
- Designs proof-of-concept frameworks with defined success criteria and evaluation metrics; scales successful POCs into repeatable production-grade pipelines within Teicherts data platform.
- Translates model outputs into actionable decision-support tools and communicates findings clearly to both technical and non-technical audiences including senior leadership.
- Collaborates with data engineering to define data ingestion feature engineering and model serving requirements; documents model logic assumptions data dependencies and performance benchmarks.
- 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
- None
- Refineries and Trucking Companies
- Data Analytics & AI team members Data & Technology Solutions teams business leaders and stakeholders AI Community of Practice members
Role Qualifications & Requirements
Education:
- Masters degree or PhD in Data Science Statistics Computer Science Applied Mathematics Engineering or a related quantitative field.
Experience and Industry Expertise:
- Minimum5 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:
- Successfulcompletion 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 telephoneautomobilepersonal protective equipment (i.e. safety glasses hearing protection)when visiting plants.
- Physical: Sitting for long periods of time working on the computer or attending meetings. Job site visits require walking on uneven groundsteep slopes and exposure to extreme temperature and/or lifting of materials and equipment up to20lbs.
- 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 whichcan 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:
$116667.00 - $163333.00
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 () 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 Teicherts 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 Teicherts 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 Teicherts 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.
Required Experience:
IC
About Company
Find and apply to opportunities with the Teichert Family of Companies! Use the search box below to search for keywords such as position title and job location. If you don't see a position you're looking for, click the "Search" button below to view all open positions. Please sign in to ... View more
