Device Level Analytics (DLA) Engineer

Description
Work Arrangement
This position is based at GM Technical Centre India - Bengaluru
The Role
Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI's strategy is to "Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future"
This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in manufacturing plants Regionally & Globally to solve complex manufacturing business problems with big data. In this position, the engineer supports critical business operations and decision making through creation of high quality and automated reports, business intelligence and business process visualization.
This is primarily a non-travel job. Business Travel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.
What You'll Do

• Collaborate with plant team, IT, and analytics community to capture, prioritize, and document data analytic requirements and drive measurable results.
• Pull data using existing reporting tools, analyze, perform testing, and validate the results.
• Analyze large amounts of data to discover trends and patterns.
• Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes.
• Develop proof of concept to solve complex manufacturing problems.
• Propose solutions and strategies to business challenges that drive business impact.
• Monitor Device Level Analytics system health, report and followup with responsible teams.
• Write user stories and framework for IT development team to implement POC (Proof of Concept) and solutions developed.
• Present complex information using data visualization techniques.
• Provide training and guidance to business partners focused on data analysis methodology reporting and tools.

Additional Description
Your Skills & Abilities (Required Qualifications)
Knowledge:

• Proficient in python (preferred) or any object-oriented programming languages.
• Skilled in working with data, explaining patterns in data, extracting useful information from data, and suggesting conclusions that support decision making.
• Skilled in applying statistical techniques, analytical tools, Machine Learning and Artificial Intelligence packages such as python pandas, numpy, scikit-learn, plotly, pytorch, keras, pyspark, etc.
• Skilled in using PowerBI, SQL Server, git, agile project management, Hadoop, Spark, Docker, Kubernetes, TFS, etc.
• Experienced in automotive production process, industrial automation, throughput analysis, and industrial engineering will be added advantage.

Skills:

• Ability to learning on the fly.
• Excellent collaboration & ability to build relationships.
• Process driven mindset.
• Excellent Project Management skills in agile environment.
• Go beyond the industry norm and demonstrate creativity in problem solving, ability to think dynamically and outside of standard convention, and adapt quickly to new technical areas.

What Will Give You A Competitive Edge (Preferred Qualifications)
Abilities:

• Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
• Ability to organize, plan, prioritize and execute projects with a keen attention to details.
• Willingness to travel across regions for executing projects whenever required.

Educational Qualifications:

• Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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