Data Center Technician jobs in United States, Michigan, Ann Arbor

Below is what you will be doing to drive improvements to our parts forecasting processes:

• Become a subject matter expert on our customer demand data environment:

• Understand the complexities and context around customer spare parts demand, situational factors such as customer contract entitlements, demand priority, product type, etc.

• Understand the associations of various parts and the respective products they belong to, which facilitates a mapping of where every unit in operation

• Identify problematic data records and anomalies that need to be resolved with data systems teams

• Build customer demand rate models to identify any variability across the fleet

• Identify any statically meaningful demand rate variation across customers, product types, customer entitlements, etc (and any combination thereof)

• Build bottoms up part forecasts across the fleet as a function of these customer demand rate models

• Work with demand frequency and volatility segmentation techniques to establish risk profiles for parts with unpredictable pattern

• Collaborate with other data scientists to input all the above data elements into various machine learning models designed to predict and optimize our customer experience

Preferred Qualifications:

• Manufacturing, Supply Chain, or related industry experience

Minimum Qualifications

• Bachelor’s degree with +5 years’ work experience, OR Master’s degree with +3 years’ work experience

• Educational background in Data Science, Data Analytics, IT or related field

• Strong data wrangling skills to extract and craft complex data into a usable format

• Strong skills with SQL, Python and/or R

• Experience with statistical / regression / ML modeling

• Ability to quickly learn new/differentlanguages/technologies/etc

• Communicate technical information to management and non-technical business partners

• Ability to collaborate closely with team members and cross functional domain experts to share knowledge and interconnect solutions

or at +1-408-352-2808

JobQualifications

Are you ready to build, lead, and innovate at the forefront of AI? We’re looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and big data to design, scale, and optimize high-impact enterprise systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future—this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now!

• Collaborate with brilliant minds across data science, ML engineering, and product strategy
• Build scalable systems that power real-time insights and intelligent automation
• Be part of a team that values creativity, ownership, and continuous growth

Job Duties, but not limited to:

• Designing and implementing AI training data pipelines to support scalable machine learning workflows
• Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics
• Developing high-performance in-memory data processing solutions using modern frameworks
• Architecting and delivering microservices-based platforms across Linux and Windows environments
• Leading design reviews, mentoring engineers, and crafting technical strategy
• Ensuring code quality, performance, and maintainability through standard processes

Qualifications, but not limited to:

• Advanced degree in Computer Science, Engineering, or a related field
• 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems.
• Experience with enterprise application development
• Strong programming skills in C++ and C#
• Deep expertise in data processing, streaming architectures, and AI/ML workflows
• Experience with big data systems; CUDA, Apache Arrow. gRPC or similar in-memory columnar data formats
• Proficiency in both Linux and Windows development environments
• Familiarity with microservices architectureand containerizationtools like Docker and Kubernetes

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

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• Bachelor's degree or equivalent practical experience.
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• Experience in SQL and managing and executing SQL-based projects, including writing SQL scripts and creating plx dashboards.
• Ability to evaluate and synthesize data into accurate results, actionable interventions, and recommendations that drive broader program strategy (e.g. plan design, development of Key Performance Indicators (KPI’s), clinical measurement).
• Ability to solve problems and manage competing priorities.
• Ability to understand new datasets and manipulate data structures.
• Passion for transforming data sets into a compelling story with data visualizations and reports.