Website Intersog
Intersog
Company : Intersog
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