SENIOR DATA SCIENTIST (30170)

Bosch Brasil; Campinas; Híbrido; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading company is seeking a talented Senior Data Scientist to join their team in Campinas. The role involves collecting and analyzing data to support strategic decision-making. The ideal candidate will possess strong analytical skills and technical expertise in data science tools and methodologies. Join a collaborative environment where your insights will drive impactful business decisions and innovations.

Serviços

Wellness and Health Programs

Medical and dental assistance

Flexible working hours

Profit sharing

Private pension plan

Life insurance

On-site meals

Shuttle bus or transportation allowance

Qualificações

• Experience as a Data Scientist or in similar roles.
• Proficiency in libraries such as pandas, NumPy, and scikit-learn.

Responsabilidades

• Extract, clean, and organize data from various sources.
• Create and implement statistical and machine learning models.
• Develop interactive dashboards and reports.

Conhecimentos

Analytical Skills

Communication

Problem-Solving

Formação académica

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Engineering

Ferramentas

Python

SQL

Git

AWS

TensorFlow

Power BI

Docker

Descrição da oferta de emprego

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Company Description

Na Bosch, moldamos o futuro por meio das inovações tecnológicas de alta qualidade e de serviços que despertam entusiasmo e melhoram a vida das pessoas. Temos uma promessa sólida para nossos colaboradores: crescemos juntos, gostamos do nosso trabalho e inspiramos uns aos outros. Junte-se a nós e sinta a diferença.

Job Description

About The Position

We are seeking a talented and motivated Data Scientist to join our team. The professional will be responsible for collecting, processing, and analyzing large volumes of data, transforming them into actionable insights that will support the company's strategic decision-making. We are looking for someone with strong analytical skills, advanced technical abilities, and excellent communication to translate complex findings into clear and useful information for different areas of the business.

Responsibilities

1. Data Collection and Processing: Extract, clean, and organize data from various sources, ensuring its integrity and quality.
2. Exploratory Data Analysis: Conduct in-depth analyses to identify trends, patterns, and improvement opportunities.
3. Predictive Model Development: Create and implement statistical and machine learning models to predict future behaviors and outcomes.
4. Data Visualization: Develop interactive dashboards and reports that facilitate the understanding of generated insights.
5. Interdisciplinary Collaboration: Work together with IT, marketing, operations, and other teams to understand needs and provide data-driven solutions.
6. Continuous Learning: Stay updated on best practices and new tools in data science, proposing innovations that can be applied within the company.

Qualifications

Requirements

• Academic Background: Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related fields.
• Professional Experience: Experience as a Data Scientist or in similar roles.
• Python Programming: Proficiency in libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, among others.
• SQL Programming: Proficiency in querying and manipulating data in relational and non-relational databases.
• Data Visualization: Experience with tools like Matplotlib, Seaborn, Plotly, Power BI.
• Cloud Platforms: Practical knowledge in services from AWS, Google Cloud, or Microsoft Azure.
• Machine Learning & Deep Learning: Proven experience with supervised and unsupervised learning techniques.
• Natural Language Processing (NLP): Knowledge in techniques and tools for natural language analysis.
• Statistics: Solid understanding of statistical concepts and techniques.
• Code Versioning: Knowledge in Git for version control.
• MLOps: Experience with automating machine learning pipelines, model monitoring, versioning, and deployment.
• Docker: Practical experience in containerizing machine learning models and applying best deployment practices in scalable environments.
• LangChain and LangGraph: Experience with LangChain to integrate language models with external sources (APIs, databases, documents) and with LangGraph to create intelligent and autonomous agents, building interactive and automated workflows.

Differentials

• Agile Methodologies: Experience with frameworks like Scrum or Kanban.
• Communication: Ability to translate technical insights into accessible information for non-technical audiences.
• Problem-Solving: Capacity to approach complex challenges analytically and creatively.
• Teamwork: Ease in collaborating in multidisciplinary and multicultural environments.

Additional Information

Benefits of Bosch

• Wellness and Health Programs: annual preventive assessment, on-site outpatient services during working hours, anti-smoking program, mental health program, physiotherapy, and maternity courses.
• Medical and dental assistance.
• Reimbursement policy for certain health conditions.
• Medication subsidy through Funcional Health.
• Flexible working hours with home office policy (not applicable to hourly workers).
• Short Friday for administrative staff and hourly workers on normal shifts (only in Campinas).
• Profit sharing (PLR).
• International expat and domestic transfer policies.
• Private pension plan and preferential loans.
• Life insurance.
• Optional membership to Bosch Club with amenities like gym, pools, barbecues, sports fields, event spaces, and more.
• Support for mothers with on-site daycare (subject to availability).
• Extended maternity and adoption leave of 180 days.
• Paternity and adoption leave of 20 days.
• On-site meals.
• Shuttle bus or transportation allowance.
• Free parking for on-site employees.
• Year-end benefits such as Christmas baskets and frozen turkey.
• Gifts for children under 12 and school supplies for employees and children.
• Subsidies for technical courses, postgraduate studies, MBAs, and language courses.
• Training and development through our corporate university.
• Recognition awards for long service (every 5 years after 10 years of service).
• Optional participation in volunteer activities via the Robert Bosch Institute.
• Discounts with partner organizations for vehicle rentals, university fees, language courses, and more.

Additional Information

• Position eligible for persons with disabilities or rehabilitated individuals.
• We do not hire minors under 16 and oppose child labor.
• Work model: Hybrid - 3 days on-site.
• If eligible for remote work, the job assessment will be part of the selection process.
• Hiring area: GS/TET1-LA.

For Bosch Employees

• Application deadline: 01/05/2025.
• Applications can be made via the SmartHub internal platform.
• Notify your leadership after applying.
• Check eligibility via our 'Indica Ai' referral program (RCD 12030-000).

At Bosch, we believe diversity drives innovation. All positions are open to people with disabilities, vulnerable groups, and minorities.

Join us and feel the difference.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industry: Software Development

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