Data Scientist

Teichert, Inc.; Sacramento (CA); On-site; USD 117,000 - 163,000; Full time

Job summary

Teichert, Inc. seeks a data science leader to design, build, validate, and deploy AI solutions that drive data-driven decisions across operations, finance, and asset management. You will partner with business and technology stakeholders to identify use cases and translate complex findings into actionable insights.

The role emphasizes production-grade pipelines, model governance, and collaboration with data engineering and senior leadership to scale AI across Teichert's data platform.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• 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.

Responsibilities

• Designs, validates, and deploys analytics & data science models and agentic AI solutions.
• Translates model outputs into actionable decision-support tools for leadership.
• Collaborates with data engineering to define data ingestion, feature engineering, and model serving requirements.
• Partners with stakeholders to identify, scope, and deliver data science and AI use cases; assesses vendor models and third-party analytics tools.

Skills

Python

R

SQL

Azure

Databricks

Power BI

Tableau

GitHub

Azure DevOps

MLOps

AI/ML concepts

Data storytelling

Education

Master's degree or PhD in Data Science

Tools

Databricks

GitHub

Azure DevOps

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:

• 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 ([e-mail]) 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.