Gerente de Ciência de Dados at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science Leadership, Machine Learning, Strategic Planning, Team Scaling, AI Implementation, Advanced Analytics, Stakeholder Management, Methodological Governance, Talent Development, Product Roadmap Alignment, SaaS, Productionizing ML Models

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Gerente de Ciência de Dados in Brazil. This role is a strategic leadership position responsible for defining and driving the long-term vision of a Data Science organization, ensuring alignment between business objectives, product roadmap, and advanced analytics capabilities. You will lead the structuring and scaling of high-performing teams, fostering technical excellence and developing future leaders within the data function. The position plays a key role in transforming data science and machine learning initiatives into scalable, production-ready solutions that generate measurable business impact. You will act as a critical bridge between executive leadership and technical teams, influencing strategic decisions across product, technology, and analytics. The environment is highly dynamic and innovation-driven, requiring strong leadership, technical depth, and business acumen. This is a high-impact role where you will directly shape the maturity and competitive advantage of the organization through data. \n Accountabilities: Define the long-term vision and strategy for the Data Science function, ensuring alignment with business and product goals. Structure and scale the data science team, including role definition, career levels, and squad allocation. Ensure methodological governance and technical excellence across all data science and machine learning deliveries. Act as a strategic bridge between executive leadership and technical teams, translating business needs into analytical execution. Drive the evolution of analytics, machine learning, and AI capabilities to strengthen competitive advantage. Develop and mentor technical leaders, including senior data scientists and team leads. Lead strategic initiatives and support key clients or business areas with advanced analytical solutions. Establish and disseminate best practices in data science, ensuring scalability and consistency across teams. Ensure strong alignment between data initiatives and the product roadmap, promoting scalable and productized solutions. Requirements: Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or related quantitative fields. Proven experience leading Data Science or advanced analytics teams. Strong background in structuring, scaling, or evolving data science or analytics organizations. Experience working in technology or SaaS-driven companies. Track record of deploying and scaling machine learning models into production environments. Strong strategic thinking combined with solid technical understanding of data science and analytics. Excellent leadership and communication skills with ability to influence executive stakeholders. Nice to have: Master’s or PhD in a quantitative field. Nice to have: experience with Marketing Mix Modeling (MMM), advanced analytics, or applied AI/ML solutions. Strong ability to drive talent development, team maturity, and organizational impact through data. Benefits: Competitive executive-level compensation package aligned with experience and market standards. Strategic leadership role with high autonomy and direct influence on company direction. Opportunity to build and scale a high-impact Data Science organization. Exposure to cutting-edge analytics, machine learning, and AI initiatives. Strong focus on professional growth and leadership development. Collaborative, innovation-driven environment working closely with executive leadership. Direct impact on business outcomes through advanced data and AI solutions. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Define the long-term vision and strategy for the Data Science function while scaling high-performing teams. Act as a strategic bridge between executive leadership and technical teams to transform AI initiatives into scalable business solutions.