Machine Learning Engineer

Minimum qualifications:

• Bachelor's degree in Engineering, Supply Chain Management, or equivalent practical experience.
  
• 6 years of experience in supply chain operations, analytics, process improvement, or cross-functional program management.
  
• Experience with data analysis and visualization, including SQL, Tableau, Power BI, Python, R.
  

Preferred qualifications:

• Experience managing project plans and working with a diverse set of executive stakeholders on requirements, roles and responsibilities, project timelines.
  
• Experience designing and executing structured analysis, deriving business insights, and evaluating the impact of business decisions (e.g., R, Python, SAS), communicate findings to a diverse audience.
  
• Experience working with teams distributed across geographies, effective communication and collaboration with global teams to ensure timely delivery of projects.
  
• Experience in presenting complex findings in a structured and clear manner to a non-technical audience.
  
• Ability to classify multiple conflicting priorities while driving towards pragmatic decisions/actions.
  

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

As a member of the Data and Analytics Services team within business systems for the Devices and Services global supply chain and operations, you will gather, assess, and manage data about every part of the hardware supply chain, and transform it into reports and insights. You will work on creating structure and value out of complex and ambiguous technical issues.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

• Write and review technical documents, including requirements, schemas, design documents for existing and future data systems. Manage and drive technical programs/projects end-to-end.
• Design and develop dashboards and critical reports for supply chain, sales, and finance stakeholders. Design and execute structured analysis to evaluate the impact of business decisions, communicate findings to a diverse audience.
  
• Work with business analysts and other non-technical business users to understand the needs and to help them effectively use the data and tools.
  
• Apply a broad range of modeling techniques to help drive strategic decisions for the organization. Build and employ statistical/ML tools to accurately predict business trends and automate critical processes.
• Apply simulation techniques to enable optimization of key operational metrics.

Interested candidates Click on below link Apply Online and you will be redirected to Career Page of Company or Career url.

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