Top Data Science Jobs in Rio de Janeiro

Lead complex consultative B2B sales pursuits for digital transformation solutions across industrial customers in Brazil, Argentina, Chile, and Peru. Manage the full sales cycle, engage executive stakeholders, develop account strategies, generate pipeline, coordinate technical and delivery teams, and achieve bookings, revenue, and growth targets. The role focuses on industrial cybersecurity, AI, IIoT, MES, software, managed services, and operational improvements.

Drive go-to-market execution for Red Hat’s AI portfolio across LATAM. Enable sales teams, partners, and customers on Data Science, AI/ML, predictive analytics, and generative AI solutions. Lead technical sales engagements, educate stakeholders, support competitive opportunities, collaborate with product and engineering teams, and develop joint-selling relationships with cloud providers, systems integrators, and technology partners.

Leads Snowflake’s LATAM Solutions Engineering team in Brazil, managing sales engineers while supporting technical sales cycles, demonstrations, proofs of concept, customer presentations, and regional technical-win forecasting. Partners with sales, channel partners, product, engineering, marketing, and services teams to achieve quota goals, identify customer solutions, improve win rates, and expand into new territories. Responsibilities also include recruiting, interviewing, coaching, developing team talent, and advising revenue leadership on sales strategy and product needs.

Leads data science strategy across Mexico and Brazil, manages and mentors a distributed team, and remains hands-on building and deploying machine learning models. Establishes modeling standards, infrastructure, delivery practices, and technical roadmaps while partnering with credit leadership on underwriting, valuation, impact measurement, and P&L analysis. Requires strong applied machine learning expertise, prior data science leadership, business communication skills, and understanding of credit or underwriting.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

Teach and support data science students via live lessons, Q&A, 1:1 calls, message support, project reviews, and actionable feedback. Troubleshoot code, explain concepts, and share industry best practices to help students complete the program.