Data Analytics Specialist - Centro Tecnológico (São Caetano do Sul)

Posted 2 Days Ago
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São Caetano do Sul, São Paulo
Hybrid
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
The Data Analytics Specialist will develop automation solutions, build predictive models, and analyze diverse data to address business challenges and drive decision-making.
Summary Generated by Built In
Description
Hybrid - 2 days of Home Office
Activities:
  • Develop custom automation solutions using Python;
  • Develop and maintain AI Agents;
  • Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units;
  • Apply data science and modeling techniques to drive data driven decision making and solve complex business problems;
  • Create breakthrough solutions, performing exploratory and targeted data analyses;
  • Build predictive models and machine-learning algorithms.
  • Analyze large amounts of diverse information to discover trends and patterns;
  • Undertake preprocessing of structured and unstructured data
  • Monitor and sustain model effectiveness;
  • Combine models through ensemble modeling;
  • Present complex information using data visualization techniques.
  • Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing;
  • Manage local and Cloud Servers for running automation.

Skills & Abilities:
  • Bachelor's degree in computer science, engineering, information technology, or a related field.
  • Advanced/Fluent English
  • Spanish Desired
  • Collaboration and versioning with Github
  • Strong problem-solving and analytical skills
  • Practical experience analyzing and curating large scale customer event data products.
  • Ability to identify tasks which require automation and automate them.
  • Programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub
  • Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent.
  • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
  • Highly collaborative work style with strong listening and communications skills
  • Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
  • GenAI development skills with Copilot and custom applications with Llama, Claude and/or OpenAI

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 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 to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Azure
Databricks
Git
Python
Scikit-Learn
Spark
SQL
TensorFlow

What the Team is Saying

Divya
Eseme
Kendra
Navya
Charles
Victoria
Sri
Jeremiah
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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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