Principal Data Scientist - AI

GEP; São Paulo; Híbrido; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

GEP in São Paulo is seeking a Data Analytics Coordinator who will lead advanced analytics initiatives and build scalable data products. You will blend leadership, analytics depth, and business insight to turn complex data into measurable value for clients and the organization.

You will mentor the analytics team, translate problems into analytical solutions, and collaborate with engineering, governance, product, and market teams to ensure reliable data foundations and impactful outcomes.

Qualificações

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or another quantitative discipline.
• Expertise in Data Analytics, Data Science, Advanced Analytics, or related fields.
• Knowledge leading people, projects, or analytical workstreams, with demonstrated ability to develop others and drive delivery.

Responsabilidades

• Lead and develop the Data Analytics team with clear priorities and quality.
• Translate business problems into analytical solutions across descriptive, diagnostic, predictive, and prescriptive analytics.
• Lead design and development of statistical, econometric, machine learning, forecasting, segmentation, modeling, and optimization.
• Drive development of data products transforming recurring analytical needs into scalable solutions.
• Define the vision, roadmap, users, value proposition, success metrics, and lifecycle of analytics and data products.
• Ensure validation, backtesting, performance monitoring, and governance of models and analytical solutions.
• Partner with Data Engineering, Data Governance, Product, Market Intelligence, and business teams to ensure reliable data foundations.
• Identify opportunities to convert ad hoc analyses into standardized analytical products or automated solutions.
• Establish standards for analytical development, reusable datasets, business rules, metrics, documentation, and model lifecycle management.
• Monitor KPIs related to model performance, product adoption, data quality, business impact.

Conhecimentos

Python & SQL

Statistics & forecasting

Machine learning

Data product mindset

Leadership & stakeholder management

English communication

Formação académica

Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or another quantitative discipline

Ferramentas

Databricks

Azure

AWS

Descrição da oferta de emprego

Contractor

Job Description

Welcome to GEP

Who We Are

GEP, with over 30 offices internationally, is the fastestgrowing procurement and supply chain solutions firm - consulting, software andmanaged services. GEP has succeeded by being smart and creative; solvingcomplex problems and finding opportunities for the world's largestorganizations.

How You Grow at GEP

We recognize people who make a genuine difference, workhard and drive achievements. Results are noticed and rewarded. It's how youwill grow a career at GEP, and in a much shorter time frame than at otherfirms.

Celebrating Everyone

GEP succeeds through the ideas and creativity of our teammembers so we embrace people of all experiences, nationalities, abilities,cultures, races, gender identities, sexual orientations and ages. What makesyou unique and different is celebrated and will help GEP stand out even more.And we are a women-founded and -owned company so our foundation is making GEP agreat place to work for women, a place where women can learn, advance and giveback.

What You Will Do

As a Data Analytics Coordinator at GEP, you will lead the development of advanced analytics, data science solutions, and data products that transform complex data into scalable business value. You will combine people leadership, analytical depth, product thinking, and strong business acumen to ensure solutions are technically robust, reusable, measurable, and aligned with client and business needs. You will:

• Lead and develop the Data Analytics team, ensuring clear priorities, technical quality, delivery predictability, and continuous development of team members.
• Translate business problems into analytical solutions, selecting the right approach across descriptive, diagnostic, predictive, and prescriptive analytics.
• Lead the design and development of statistical, econometric, machine learning, forecasting, segmentation, scoring, and optimization models.
• Drive the development of data products, transforming recurring analytical needs into scalable, reusable, and sustainable solutions.
• Define the vision, roadmap, target users, value proposition, success metrics, and lifecycle of analytics and data products.
• Ensure appropriate validation, backtesting, performance monitoring, recalibration, documentation, and governance of models and analytical solutions.
• Partner with Data Engineering, Data Governance, Product, Market Intelligence, and business teams to ensure reliable, traceable, and high-quality data foundations.
• Identify opportunities to convert ad hoc analyses, recurring requests, and manual processes into standardized analytical products or automated solutions.
• Establish standards and best practices for analytical development, reusable datasets, business rules, metrics, documentation, and model lifecycle management.
• Monitor KPIs related to model performance, product adoption, data quality, business impact, usability, and value generated by analytics solutions.

What Should You Bring

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or another quantitative discipline.
• Expertise in Data Analytics, Data Science, Advanced Analytics, or related fields.
• Knowledge leading people, projects, or analytical workstreams, with demonstrated ability to develop others and drive delivery.

Technical, Product and Leadership Skills

• Strong proficiency in Python and SQL and solid knowledge of statistics, forecasting, time series, regression, hypothesis testing, and predictive modeling.
• Expertise with machine learning, model evaluation, feature engineering, backtesting, validation, and performance monitoring.
• Knowledge with cloud data platforms such as Databricks, Azure, AWS, or equivalent technologies, and understanding of MLOps and model lifecycle management.
• Strong data product mindset: ability to define users, problems, business value, roadmap, success metrics, adoption criteria, and lifecycle of analytical products.
• Ability to distinguish ad hoc analysis from scalable data products and identify opportunities for reuse and standardization of datasets, metrics, models, and analytical components.
• Understanding of data quality, ownership, SLAs, documentation, lineage, governance, and data architecture principles from an analytics product perspective.
• Proven ability to connect technical solutions with business outcomes and communicate complex concepts to technical and non-technical stakeholders.
• Strong people leadership, coaching, prioritization, stakeholder management, and structured problem-solving skills.
• Advanced to fluent English, with the ability to communicate effectively with global teams and stakeholders in meetings, presentations, and day-to-day collaboration.

At GEP, Data Analytics Coordinators connect people, data, technology, and business - helping analytics evolve from individual analyses and models into scalable capabilities and products that support better decisions for our clients and our organization.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, protected veteran status, disability status, or any other characteristics protected by federal, state or local law. We are committed to hiring and valuing a global diverse work team. GEP is proud to be an EEO/AA employer M/F/D/V.

GEP's strength is its people. As a leader in procurement and supply chain solutions, we are committed to providing innovative solutions that create a competitive advantage for enterprises worldwide. Our leadership helps us maintain this focus and drives our commitment to deliver the highest value to our clients.

GEP's leadership is a collective of some of the most experienced and accomplished professionals in the industry. Blending together strong business acumen with rich technical expertise, they are leading GEP's global workforce into the future

WeAreGEP

What makes us really stand out from the crowd?

We value and invest in talent. We respect honesty and individuality. We put our clients and our people first. This is what makes us special, and why GEP is an exceptional place to work.