Data Science Sênior

Accountabilities: • Develop predictive models and machine learning algorithms to solve complex business challenges and generate measurable impact.

• Explore, analyze, validate, and interpret data to identify relevant patterns, insights, and opportunities.

• Extract, transform, and prepare data from relational databases using SQL.

• Develop analytical solutions, automations, and data manipulation processes using Python.

• Apply statistical modeling and machine learning techniques to business and data analysis.

• Use machine learning, deep learning, and data visualization libraries and frameworks to build analytical solutions.

• Develop solutions involving Natural Language Processing, Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).

• Act as an interface between business and technology teams, translating business needs into analytical solutions.

• Present analytical results, findings, and recommendations clearly to non-technical audiences.

• Support data-driven decision-making by connecting analytical insights with business objectives.

Requirements:

• Professional experience using Python for data manipulation, automation, and analytical solution development.

• Strong knowledge of SQL for extracting and transforming data from relational databases.

• Knowledge of statistical modeling and machine learning techniques.

• Experience with Scikit-learn, Streamlit, and Matplotlib/Pyplot.

• Knowledge of TensorFlow and PyTorch.

• Knowledge of NLP, Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).

• Experience with cloud computing environments, particularly AWS and Azure.

• Experience working with notebooks and data science platforms such as Jupyter and Databricks.

• Experience with experimentation and machine learning lifecycle tools such as MLflow.

• Knowledge of statistical libraries including Statsmodels and SciPy.

• Experience applying supervised, unsupervised, and deep learning techniques.

• Strong communication skills for collaborating with both technical and business stakeholders.

• Ability to present technical results and analytical insights clearly to non-technical audiences.

• Experience with LangChain is desirable.

• Experience with LangGraph is desirable.

• Experience building chatbots is desirable.

Benefits:

• Fully remote work model.

• Full-time employment.

• Opportunity to work with modern data science, machine learning, Generative AI, and cloud technologies.

• Exposure to innovative AI-driven solutions and emerging technologies.

• Collaboration with multidisciplinary technical and business teams.

• Opportunities for continuous professional development and learning.

• Opportunity to work on complex analytical challenges with measurable business impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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