Data Science Sênior

3C Deutschland GmbH; São Carlos; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A financial data solutions company in São Paulo is seeking a Senior Data Scientist to lead the development of machine learning models that drive strategic decisions. You will collaborate with various teams and mentor junior scientists, ensuring compliance and addressing ethical AI concerns. The ideal candidate should possess a relevant degree and have strong data science skills, particularly in Python and machine learning frameworks.

Serviços

DEI initiatives

Work/life balance

Development opportunities

Recognition programs

Qualificações

• Strong understanding of statistical modeling and optimization techniques.
• Intermediate to fluent English proficiency.
• Experience with financial datasets is a plus.

Responsabilidades

• Lead the design, development, and deployment of machine learning models.
• Collaborate with product managers and stakeholders.
• Mentor junior data scientists.

Conhecimentos

Problem-solving

Communication

Collaboration

Data analysis

Formação académica

Bachelor’s/Master’s/Ph.D. in relevant field

Ferramentas

Python

scikit-learn

XGBoost

PyTorch

TensorFlow

SQL

Databricks

PostgreSQL

MongoDB

Descrição da oferta de emprego

Job Description

Work that matters - What you’ll be doing

• Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
• Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
• Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
• Develop and maintain robust model training workflows.
• Ensure model interpretability, fairness, and compliance with regulatory standards.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
More about you
• Strong problem-solving skills and a passion for using data to drive decisions.
• Excellent communication and collaboration abilities.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• A mindset for continuous learning and innovation.
• Ethical awareness of bias, fairness, and transparency in AI models.

Why this role is important to us

This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.

Qualifications

• A Bachelor’s/Master’s/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• Experience in data science or machine learning, with a strong track record of delivering impactful solutions.
• Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
• Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
• Good understanding of generative AI concepts and principles.
• Intermediate to fluent English proficiency – ability to communicate technical concepts clearly in English is essential.
• Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
• Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
• Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
• Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together