Data Jobs in Davidson, NC

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Senior Data Scientist

Trane Technologies Davidson, NC

Davidson, NC

Today

$91k - $190k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Senior Data Scientist role at Trane Technologies, onsite in Davidson, NC, focusing on leading AI in Engineering initiatives to design, build, and deploy AI and data-driven solutions that boost engineering productivity and broaden access to knowledge across a globally distributed team.

Responsibilities

Create data science, machine learning, and generative AI solutions for engineering use cases such as data access, content extraction, data enrichment, retrieval and extraction, and agent-driven workflows.
Build and refine data pipelines, preprocessing workflows, and model-ready datasets for engineering, testing, and simulation data.
Design, validate, and deploy predictive, optimization, and AI-enabled applications that improve engineering productivity and decision-making.
Support AI software development lifecycle efforts by contributing to proofs of concept, evaluating use cases, planning implementations, and developing enterprise-facing tools.
Help convert fragmented engineering knowledge and historical data into searchable, reusable, agent-accessible resources to improve continuity and reduce knowledge loss.
Collaborate with engineering, modeling and simulation, controls, and digital teams to weave AI into tools, workflows, and product-development processes.
Contribute to engineering data and AI initiatives spanning domain-specific chatbots, regulatory and compliance tools, digital twins, time-series forecasting, solver acceleration, and physics-informed models.
Work with cloud platforms, connectors, registries, and orchestration frameworks to enable secure and scalable AI solutions for engineering teams.
Prepare concise technical readouts, visuals, and recommendations that communicate results and next steps to technical stakeholders and leadership.
Mentor junior team members, contribute to team standards, and help establish repeatable methods for AI and data science delivery across the international AI in Engineering organization.

Requirements

Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience.
Proficiency in Python for data analysis, model development, and application development.
Solid foundation in machine learning, statistical modeling, and generative AI concepts.
Experience handling raw, unstructured, and engineering data, including preprocessing, feature development, and preparing data for modeling workflows.
Familiarity with SQL, NoSQL, cloud services, and modern AI/ML tooling.
Experience building or supporting applications, workflows, or services that operationalize analytics or AI solutions.
Ability to work effectively across a distributed, international team and partner with engineering stakeholders across multiple domains and locations.
Strong analytical, communication, and problem-solving skills, with the ability to translate technical concepts into practical business and engineering outcomes.

Technologies

Python, SQL, NoSQL, cloud platforms, orchestration frameworks

Benefits

Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs with generous incentives – WE DARE TO CARE!
Family building benefits include fertility coverage and adoption/surrogacy assistance.
401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
Educational and training opportunities through company programs along with tuition assistance and student debt support.

Where is the Work

Monday to Thursday, work onsite with colleagues. Fridays, you may choose your work location based on project needs.

Disclaimer

We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

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