Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics.
We are growing our data science team and looking for a passionate individual who can bridge the gap between business problems and data solutions.
Key Responsibilities
- Own the end-to-end problem-solving lifecycle: from understanding the business challenge to delivering actionable insights.
- Collaborate with clients and internal stakeholders to gather and define business requirements.
- Analyze large and complex datasets using SQL and Python to uncover trends and patterns.
- Build interactive dashboards and visualizations using Tellius to communicate insights effectively.
- Translate ambiguous business problems into well-structured data science tasks.
- Partner closely with cross-functional teams including engineering, product, and business.
- Present results and recommendations clearly and confidently to both technical and non-technical audiences.
- Stay updated with the latest trends in data science, analytics, and visualization.
Must-Have Skills
- 3+ years of experience in Data Science or a related field.
- Strong proficiency in SQL for data querying and transformation.
- Hands-on experience with Python (pandas, numpy, matplotlib, etc) for data analysis and scripting.
- Hands-on experience with machine learning ( logistic regression, decision tree, random forest, etc).
- Experience creating interactive dashboards in analytics tools (Power BI, Looker, Tableau).
- Proven ability to act as a business analyst and translate business problems into data solutions.
- Excellent communication and stakeholder management skills.
Good to Have
- Exposure to machine learning (ML) and AI techniques.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience working in a product-based or analytics SaaS company.
Who You Are
- You’re curious and analytical by nature.
- You enjoy solving real business problems with data.
- You’re not just technical — you’re also a storyteller with data.
- You thrive in a fast-paced, collaborative environment.
Why Join Us?
- Be part of a rapidly growing team building next-gen analytics products.
- Work on impactful projects with real business outcomes.
- Collaborate with a world-class team of engineers, data scientists, and business leaders.
- Flexible work culture and opportunities for learning and growth.