Machine Learning Data Engineer
Ingersoll Rand
Davidson, MN

About $79,000 - $100,000 a year

EducationSkillsBenefits
Preferred locations: Minneapolis, MN; Davidson, NC; Tyler, TX; La Crosse, WI; Broomfield, CO; Redwood City, CA - also open to the possibility of working remotely for the right candidate

At Ingersoll Rand we are passionate about inspiring progress around the world. We advance the quality of life by creating comfortable, sustainable and efficient environments. Our people and our family of brands-including Club Car® , Ingersoll Rand® , Thermo King® , Trane® , American Standard® Heating & Air Conditioning and ARO® - work together to enhance the quality and comfort of air in homes and buildings; transport and protect food and perishables; and increase industrial productivity and efficiency. We are a global business committed to a world of sustainable progress and enduring results. For more information, visit www.ingersollrand.com .

Ingersoll Rand is a diverse and inclusive environment. We are an equal opportunity employer, dedicated to hiring a diverse workforce; including minorities, females, individuals of all sexual orientations and gender identities, individuals with disabilities, and United States qualified protected veterans.

Job Summary :
We are looking for an innovative data engineer to help establish a machine learning capability in the marketing and sales space for a newly formed climate company. With big goals, we need a contributor to help us specify the workbench environment for machine learning, and work with the team to get the data ready for model development. The ideal candidate will understand and be able to guide decisions about the ML environment, work with the IT team to advise on data structure, and dabble in model development. This candidate's first love should be data, with enough practical experience in modeling to know what is required.

Responsibilities:
Engage with the current analytics team to understand the data sets available, and top priority business questions.
Assemble large and complex data sets for machine learning.
Develop data pipelines for proof-of-concept model development, and work with IT to develop the plan for production-ready pipelines.
Explore new data sets within the company that live in operational systems, or with third parties that could enrich our data and enhance our models.
Engage with IT partners to understand the current Hadoop environment, and craft recommendations for tools and infrastructure to support machine learning.
Manage documentation of data, and assist IT in developing analytics-friendly data dictionary for the benefit of our team and others.
Advise and adhere to security protocol for different data sets.
Research and experiment with new technologies to keep the team on the cutting edge and leveraging the latest thinking in the machine learning space.
Initial work will include model development, which will lessen as the team grows.

Qualifications:
BS/BA degree in computer science, statistics, mathematics, MIS, engineering or similar.
3+ years of experience in a hands-on data engineering/machine learning role, additional years of experience in related analytics field a plus.
Data cleaning and engineering experience in transforming data sources into ones consumable in the data science realm.
Proficiency in SQL and Python or R required.
Experience with one or more: Jupyter Notebooks, Hadoop, Sqoop, Spark, GitHub, Tableau, Alteryx and cloud based environments.
Software development experience a plus.
Excellent communication skills -able to convey complex concepts to technical and business teas in a simple and understandable way.

Key Competencies:
Technical Excellence-comfortable around large data sets and utilizing tools/languages appropriately
Analytical skills-ensuring that the data available is answering the questions being asked
Cross Functional Collaboration

We are committed to helping you reach your professional, personal and financial goals. We offer competitive compensation that aligns with our business strategies and comprehensive benefits to help you live your healthiest. We are committed to building an inclusive and diverse culture that engages as well as values the different backgrounds and experiences of our employee, which, in turn, spurs innovation, generates creative solutions and enhances our customer relations.

If you share our passion for inspiring progress-for bringing about bold shifts in how people, economies and societies operate-then you belong with Ingersoll Rand. Progress begins with you.