Senior Data Scientist - Remote Position

About the Role

We are seeking a Senior Data Scientist - Remote to join our innovative team. In this role, you will leverage your expertise in data science to develop cutting-edge machine learning models and conduct in-depth data analyses that guide strategic decision-making. You will collaborate with various teams to innovate and automate processes while focusing on creating impactful insights.

What You'll Do

• Plan, develop, train, evaluate, and monitor machine learning models using classical approaches, NLP/NLI, and LLMs.
• Conduct experiments, proof of concepts (PoCs), and discovery initiatives to support decision-making and process automation.
• Explore and analyze business data, performing diagnostic, predictive, and prescriptive analyses.
• Evaluate, estimate, and track costs of implementation and operation at scale for proposed solutions.
• Create reports, dashboards, and presentations to communicate results, insights, and project impacts.
• Collaborate with business and technology areas, aligning expectations and advocating for technical best practices.
• Propose innovations, support technical decisions, and contribute to the continuous evolution of data and AI solutions.

Requirements

• Advanced Python experience, with proficiency in libraries such as Pandas, NumPy, Scikit-learn, Pydantic, PyTorch, and TensorFlow.
• Intermediate to advanced SQL experience, working with relational databases.
• Experience with Databricks.
• Solid understanding of machine learning, including regression, classification, clustering, and NLP techniques.
• 5+ years of experience as a Data Scientist with a focus on remote work.

Nice to Have

• Experience with cloud platforms like AWS or Azure.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Knowledge of big data technologies like Hadoop or Spark.

What We Offer

• Opportunity to work remotely with a flexible schedule.
• Access to cutting-edge AI tools and technologies.
• Collaborative and innovative work environment.
• Opportunities for personal and professional growth.
• Participation in the AI revolution and transformative projects.