Lead Data Scientist

Job Title: Lead Data Scientist

Location: Chennai

Reports To: CEO

About the Company:

Ignitho Inc. is a leading AI and data engineering company with a global presence, including offices in the US, UK, India, and Costa Rica.

Visit our website to learn more about our work and culture: www.ignitho.com.

Ignitho is a portfolio company of Nuivio Ventures Inc., a venture builder dedicated to developing Enterprise AI product companies across various domains, including AI, Data Engineering, and IoT.

Learn more about Nuivio at: www.nuivio.com.

Job Summary:

We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python, Tableau, Snowflake, Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders.

Key Responsibilities:

• Design, build, and deploy scalable machine learning models to solve complex business problems
• Write and optimize complex SQL queries, particularly on the Snowflake platform
• Develop insightful dashboards and visualizations using Tableau
• Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.)
• Perform A/B testing & other statistical techniques
• Translate analytical insights into clear, compelling stories and recommendations for stakeholders
• Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions
• Present findings and recommendations to both technical and non-technical stakeholders regularly

Requirements:

• 6+ years of professional experience in data science or advanced analytics
• Strong proficiency in Python for data manipulation, analysis, and modelling
• Proven experience in building dashboards and reports using Tableau
• Expertise in writing complex SQL queries, especially on Snowflake
• Solid understanding of machine learning techniques, statistical tests and model deployment best practices
• Excellent communication and storytelling skills to convey data-driven insights
• Comfortable working closely with stakeholders daily to gather requirements and present findings