Senior Data Scientist

We are looking for a high-energy individual for the role of Data Scientist/Senior Data Scientist at Eucloid.

Responsibilities:

• Analyze structured and unstructured datasets to identify actionable insights and trends.
• Develop and deploy machine learning models and statistical solutions for business challenges.
• Apply statistical techniques, including hypothesis testing, probability modeling, and model evaluation metrics (ROC-AUC, precision/recall, RMSE, etc. ) to ensure robust solutions.
• Collaborate with data engineers to design scalable data pipelines and architectures.
• Translate complex data findings into clear, actionable recommendations for stakeholders.
• Contribute to building data-driven tools and dashboards for clients.
• Support deployment, monitoring, and performance tracking of models in production environments.
• Maintain documentation of methodologies, experiments, and results, ensuring reproducibility and governance.
• Work with version control systems (e. g., Git) and ML lifecycle tools to manage model development and deployment workflows.
• Stay updated on emerging trends in AI/ML and apply learnings to projects.

Requirements:

• Bachelor's or master's degree in data science, computer science, statistics, or a related field.
• 3-5 years of hands-on experience in data science, machine learning, or analytics.
• Proficiency in Python (e. g., Pandas, NumPy, Scikit-learn) or R for data analysis and modeling.
• Strong SQL skills for data extraction and manipulation.
• Solid understanding of statistics, probability, and model evaluation techniques.
• Experience with machine learning algorithms, including regression, classification, clustering, and tree-based models
• Experience in deploying production-level ML solutions
• Familiarity with ML frameworks (e. g., Scikit-learn, TensorFlow)
• Familiarity with MLOps would be preferred
• Experience with data visualization tools (Tableau, Power BI, Looker).
• Experience with cloud platforms like Databricks is preferred.
• Basic understanding of deploying models and working with large-scale data platforms.
• Strong problem-solving mindset and ability to thrive in agile environments.
• Excellent communication skills to convey technical concepts to non-technical audiences.
• Collaborative spirit, with experience working in cross-functional teams.
• Ability to translate business requirements into analytical solutions and actionable insights.
• Experience working in production environments with exposure to monitoring and maintaining deployed models.