Senior Data Scientist bei Intersog

Description

Job Description

We are seeking an experienced Senior Data Scientist to drive impactful data-driven insights that inform strategic business decisions. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to collaborate effectively across technical and non-technical stakeholders.

Key Responsibilities

• Design, develop, and deploy machine learning models to solve complex business problems
• Explore and implement generative AI solutions to enhance analytical capabilities and business processes
• Create advanced, interactive visualizations and dashboards to communicate insights to diverse audiences
• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions
• Conduct rigorous statistical analyses to validate findings and ensure data integrity
• Lead stakeholder engagement, presenting complex technical concepts in accessible ways
• Mentor junior team members and contribute to the growth of the data science practice
• Deploy and maintain models in cloud-based environments
• Drive end-to-end project delivery from problem definition through implementation
  

Requirements

• Python Proficiency: Expert-level skills in Python for data analysis, modeling, and automation (required)
• Data Manipulation & Processing: Strong proficiency in pandas for data analysis and PySpark for large-scale distributed data processing
• SQL: Advanced SQL skills for data extraction, transformation, and analysis across various database systems
• Statistics: Strong foundation in statistical methods, experimental design, and hypothesis testing (required)
• Machine Learning: Hands-on experience building, training, and deploying ML models in production environments
• Advanced Visualization: Proficiency with Plotly and Plotly Dash for creating interactive, production-grade visualizations
• Cloud Technologies: Experience with cloud platforms (AWS, Azure, or GCP) for data processing and model deployment
• Communication Skills: Exceptional ability to communicate technical findings to both technical and non-technical audiences
• Stakeholder Management: Proven track record of managing stakeholder relationships and driving alignment
• Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field; advanced degree (Master's or PhD) preferred
  

Preferred Qualifications

• Generative AI: Experience with large language models (LLMs), prompt engineering, and GenAI applications
• Experience with graph databases and graph analytics
• Knowledge of network analysis and graph-based algorithms
• Experience in financial services or regulated industries
• Familiarity with MLOps and model monitoring best practices