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You will be updated with latest job alerts via emailAbout 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 companys strategic decisionmaking. 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
Data Collection and Processing: Extract clean and organize data from various sources ensuring its integrity and quality.
Exploratory Data Analysis: Conduct indepth analyses to identify trends patterns and improvement opportunities.
Predictive Model Development: Create and implement statistical and machine learning models to predict future behaviors and outcomes.
Data Visualization: Develop interactive dashboards and reports that facilitate the understanding of generated insights.
Interdisciplinary Collaboration: Work together with IT marketing operations and other teams to understand needs and provide datadriven solutions.
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: Bachelors degree in Data Science Statistics Mathematics Engineering or related fields.
Professional Experience: Minimum of 3 years of proven experience as a Data Scientist or in similar roles.
Python Programming: Proficiency in libraries such as pandas NumPy scikitlearn TensorFlow PyTorch Keras among others.
SQL Programming: Proficiency in querying and manipulating data in relational and nonrelational 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 nontechnical audiences.
ProblemSolving: Capacity to approach complex challenges analytically and creatively.
Teamwork: Ease in collaborating in multidisciplinary and multicultural environments.
Informaes adicionais :
Benefcios da Bosch
Informaes adicionais
Vaga elegvel para pessoas com deficincia ou reabilitadas
No contratamos menores de 16 anos e somos contra o trabalho infantil
Modelo de trabalho: Hbrido 3x presencial
Se esta vaga for elegvel ao modelo Home Office a avaliao do posto de trabalho ser uma das etapas do processo seletivo
rea contratante: GS/TET1LA
Para colaboradores Bosch
Prazo: 04/03/2025
Sua candidatura pode ser feita internamente pelo site SmartHub
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Remote Work :
No
Employment Type :
Fulltime
Full-time