Data Scientist

We are growing our data science team and looking for a passionate individual who can bridge the gap between business problems and data solutions.

• →Own the end-to-end problem-solving lifecycle: business context → data → AI-driven insights → outcomes
• →Work directly with customers and internal teams to understand business problems and define solutions
• →Analyze large, complex datasets using SQL and Python
  
• →Design and deliver AI-powered analytics solutions using Tellius
• →Translate ambiguous business problems into structured analytics or AI workflows
  
• →Build and demo insight-driven dashboards and narratives for business users
• →Partner closely with Product, Engineering, and GTM teams
  
• →Present insights and recommendations confidently to business and technical stakeholders
  

• 3+ years of experience in data science, solutions engineering, or analytics consulting
• Strong hands-on skills in SQL and Python
  
• Experience with cloud data platforms (Snowflake, Databricks, Redshift)
• Hands-on experience with LLMs and AI agents, including prompt engineering, RAG pipelines, AI agent workflows, and deploying AI-driven solutions beyond basic ChatGPT usage.
• Understanding of agentic AI concepts: memory, tool usage, orchestration, multi-step reasoning
• Experience with analytics platforms such as Tableau, Power BI, and ThoughtSpot (you understand what Tellius replaces)
• Domain exposure in pharma commercial analytics, CPG/retail analytics, or FP&A (at least one)
• Strong storytelling, presentation, and stakeholder management skills
• Comfortable in customer-facing roles
  

• Prior experience in an analytics or AI SaaS product company
  
• Exposure to enterprise decision workflows
  
• Experience demoing or solutioning for clients

• Curious, analytical, and business-minded
• Comfortable working in ambiguity
• Excited about AI-native analytics and agentic systems
  
• Strong communicator who can turn insights into action