Data Scientist / Applied Scientist (Mid and Senior Levels)

Microsoft; Brasil; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology company in Brazil is seeking a skilled professional to develop and evaluate machine learning models. This role requires expertise in predictive analytics and statistics, along with a passion for user-centric AI. Candidates should possess at least a Bachelor's degree and 4+ years of relevant experience. The successful applicant will collaborate across teams, lead innovative projects, and contribute to a pioneering culture in applied science.

Serviços

Competitive salary

Flexible working hours

Professional development opportunities

Comprehensive health coverage

Qualificações

• 4+ years of experience in predictive analytics, statistics, or research.
• Experience with synthetic data generation for evaluation/training.
• At least one year of experience publishing patents or peer-reviewed papers.

Responsabilidades

• Develop and evaluate ML models using prepared datasets.
• Collaborate cross-functionally to define success metrics.
• Lead research projects yielding new algorithms, tools, or insights.

Conhecimentos

Predictive analytics

Statistics

Machine learning

Data management

Analytical skills

Agile development

Formação académica

Bachelor’s degree in Statistics, Econometrics, Computer Science or related field

Ferramentas

Azure

Reinforcement learning frameworks

Descrição da oferta de emprego

Responsibilities (Text Only)

- Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models. - Write production-quality code, apply debugging best practices, and stay current with industry trends. - Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations. - Collaborate cross-functionally to define success metrics and improve AI quality at scale. - Lead research projects that yield new algorithms, tools, or insights solving open problems. - Analyze evaluation outputs to identify gaps in coverage, quality, and usability. - Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding. - Work with large-scale data while championing privacy and compliance. - Engage with customers and internal teams to identify pain points and drive impactful improvements. - Stay engaged with the latest research and foster a strong applied science culture. Publishing is encouraged.

Qualifications (Text Only)

Main qualifications - Bachelor’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field. - 4+ years of experience in predictive analytics, statistics, or research. - Experience with synthetic data generation and data management for evaluation/training. - At least one year of experience publishing patents or peer-reviewed papers. - Deep motivation for user-centric AI and interest in human cognition, memory, and AI. - Global collaboration is integral to our work at Microsoft, and proficiency in English is essential for effective communication in this role. Preferred qualifications - Master’s degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field. - Experience with large-scale embedding models and transformer architectures. - Familiarity with reinforcement learning and distributed computing platforms (e.g., Heron, AML, Euclid). - Proficient analytical skills and experience with telemetry and performance metrics. - DevOps experience and cloud services knowledge (Azure preferred). - Agile development experience and a structured approach to software design. Interpersonal skills - Growth mindset with resilience and a passion for learning. - Commitment to diversity, inclusion, and authentic collaboration. - Effective communication skills with the ability to engage diverse audiences. - Ownership mindset with the ability to deliver results and manage expectations. - Self-motivated and collaborative across teams and organizations. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.