Job Description
Hybrid: for this position is required to be on site 3x/week
The position:
The GM Envolve Data Scientist is responsible for developing data‑driven solutions that help our fleet, rental, and government teams optimize their operations and insights about the business. You will partner with cross‑functional teams across sales, customer success, product, and sales operations to frame business problems, build and deploy analytical and machine‑learning models, automate processes and convert insights into concrete action plans.
What you will do (responsabilities):
You build predictive models and machine-learning algorithms
You analyze large amounts of 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
Propose solutions and strategies to business challenges that drive business impact
Location: São Caetano do Sul/SP
Your skills and abilities (required qualifications):
Bachelor’s degree in computer science, engineering, information technology, or a related field
Minimum Intermediate knowledge of the English language
Solid experience in one or more core analytical tools / suites / languages such as SAS, Python, R, Spark Scala and understand their limitations
Proficient in one or more analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning and text analytics
Ability to identify tasks which require automation and automate them.
#LI-AS
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.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.
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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
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