About Us
Our mission at FacilityConneX is to provide the industrial and commercial customer a world-class real time continuous monitoring system for any equipment or facility - Anytime, Anywhere. FacilityConneX is an advanced IoT solution for equipment optimization. FacilityConneX offers an industry leading experience for customers to gain insight on their own systems and data. For more information, go to www.facilityconnex.com

FacilityConneX offers a great work environment, professional development, challenging careers, and competitive compensation. FacilityConneX is an Equal Opportunity Employer.

Posted Position Title
Software & Data Analytics Engineer

Career Level
Full-time

Function
Engineering/Development

Location Opening Is Available
United States - Nashua, NH

Role Summary
As a Software & Data Analytics Engineer for FacilityConneX, you will be embedded in a close knit / cross- disciplinary team on commercially facing development projects, typically involving streaming, complex data set.

You will work addressing statistical, machine learning, and data understanding problems in various commercial and industrial applications. In this role, you will contribute to the development and deployment of modern machine learning and statistical methods for finding valuable insights in large data sets. You will leverage experience from various sources such as software developers, engineers, partner subject matter experts, and end users - to define business problems, work with and manipulate data, develop analytical solutions, and execute analytical models and rules in production environments - aimed at specific commercial and industrial markets. Potential application areas include smart buildings, facility infrastructure optimization, OEM equipment builders, industrial / manufacturing, energy management, and various other IoT equipment monitoring applications.

In this role, a heavy emphasis will be put on the practical application, use, and benefits to our customers using our system. As a Software & Data Analytics Engineer, you will work to assure all solutions are optimized for performance and deployment into our hosted industrial cloud environment.

Essential Responsibilities
In this role, you will:

• Develop analytics within well-defined projects to address customer needs and opportunities.
• Continuously contribute to improving and building out our analytics platform.
• Assist in the build-out of our analytics library on our next generation Python based framework.
• Work alongside software developers, software engineers, and partner subject matter experts, to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Share and discuss findings with team members and customer clients.
• Provide quality documentation for both end users and internal teams.

Qualification Requirements
Basic Qualifications:

• Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
• Experience in applying data science software solutions.
• Demonstrate strong proficiency using Python and associated data science packages (e.g. Pandas, NumPy, SciPy, Scikit-learn, others)

Additional Eligibility Requirements

• Very solid experience working on daily basis with Linux-based operating systems
• Demonstrated skill in the use of various database software tools (e.g. SQL, Redis, S3, Dynamo, Druid)
• Comfortable working in common programming languages / interfaces (e.g. JavaScript, Node JS, REST, GO)
• Demonstrated skills in data cleaning, features engineering, model selection to best suit the application and data.
• Demonstrated skill in the use of applied analytics and predictive analytics on streaming time- series data.
• Familiar with CI/CD techniques associated with provisioning of analytics to production environments. E.g Docker, Kubernetes, GitHub Actions, other CI/CD and IaC technologies.
• Solid experience with Docker containers and Kubernetes in collaboration with development team
• Good understanding of AWS common services (i.e. EC2, S3, CloudWatch, Lambda)
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas at this time.
• Must be willing to travel up to 5% if needed. Travel is rare, typically only during new customer project kick-offs.

Desired Characteristics

• Strong passion for technology, a willingness to learn new skills and the ability to convert to new technologies
• Self-motivated and self-directed, ability to translate technical direction into functional solutions
• Ability to work effectively, managing multiple priorities
• Proven ability to investigate complex issues and drive to completion

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Retirement plan
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

COVID-19 considerations:
Yes - we are following recommended guidelines.

Application Question(s):

• Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status) or any other considerations to continue your employment indefinitely?

This is a required question, you're application will not be accepted without this answered.

Education:

• Bachelor's (Preferred)

Experience:

• Python: 2 years (Required)
• Data science: 2 years (Preferred)

Work Location: In person

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