
Senior Data Scientist
Posted 5 hours ago

Posted 5 hours ago
This is a fully remote position, open to applicants in Brazil.
• Create predictive models and machine learning algorithms to address intricate business challenges.
• Perform data exploration, analysis, validation, and interpretation with an emphasis on quantifiable results.
• Extract and transform data from relational databases utilizing SQL.
• Build analytical solutions, automation processes, and data manipulation workflows using Python.
• Implement statistical modeling and machine learning techniques for data analysis.
• Leverage machine learning, deep learning, and data visualization libraries and frameworks to develop analytical solutions.
• Design solutions that incorporate NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation).
• Act as a liaison between business units and IT departments.
• Deliver findings and insights to audiences without technical backgrounds.
• Facilitate data-driven decision-making to achieve business objectives.
• Proficiency in Python for data manipulation, automation, and developing analytical solutions.
• Familiarity with SQL for data extraction and transformation from relational databases.
• Understanding of statistical modeling and machine learning methodologies.
• Experience with Scikit-learn, Streamlit, and Matplotlib/Pyplot.
• Knowledge of TensorFlow and PyTorch frameworks.
• Familiarity with NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation).
• Experience with cloud platforms such as AWS and Azure.
• Proficient with notebooks like Jupyter and Databricks.
• Experience using experimentation tools such as MLflow.
• Knowledge of statistical libraries, including Statsmodels and SciPy.
• Experience in applying supervised, unsupervised, and deep learning techniques.
• Excellent communication skills for collaborating with both technical and business teams.
• Ability to convey results to non-technical stakeholders.
• Preferred: Background in LangChain.
• Preferred: Familiarity with LangGraph.
• Preferred: Experience in developing chatbots.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• Flexible work hours and remote work options.
• Dynamic and collaborative work environment.
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