Relationships, Qualifications and Requirements, & Competencies Key Relationships Reports To:

Senior Data, Analytics & AI Manager\n

Direct Reports:

None\n

External Clients:

Refineries and Trucking Companies\n

Internal Clients:

\nData, Analytics & AI team members, Data & Technology Solutions teams, business leaders and stakeholders, AI Community of Practice members

Role Qualifications & Requirements Education:

\nMaster's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field.

Experience and Industry Expertise:

\nMinimum 5 years of hands-on experience building and deploying predictive models and machine learning solutions.\nExperience in asset-intensive industries such as construction, mining, energy, transportation, or manufacturing is preferred.

Specific Job Requirements:

\nSuccessful completion of pre-employment drug, alcohol, and background investigation.\nAbility 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.\nStrong 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.\nSkilled 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.\nProficiency with SQL and cloud data platforms (e.g., Azure, Databricks, or equivalent); comfort working with large-scale structured and semi-structured datasets.\nDeep understanding of model validation, evaluation metrics, feature engineering, and ability to identify and mitigate data leakage.\nAbility to explain findings, model performance and results, and recommendations clearly to diverse audiences and translate business problems into analytical frameworks.\nAbility to preserve confidential and proprietary information and successfully avoid conflicts of interest.\nExperience working effectively in cross-functional teams and establishing positive working relationships across functions and levels.\nExperience 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.\nMust be able to prioritize, manage multiple workstreams, and recognize when to seek direction. Competencies\nData, Analytics & AI\nBuilding Relationships\nConflict Resolution\nListening\nInitiative\nDependability\n

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.\n

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.\n

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.\n

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

\n$116,667.00 - $163,333.00\nThe 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\nThe 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\nTeichert 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\nTeichert, 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. 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