Job Description
Tellius is seeking a passionate Data Scientist to join their growing team, focusing on bridging business challenges with data-driven solutions. The role involves owning the complete problem-solving lifecycle, from understanding business needs to delivering actionable insights. Responsibilities include collaborating with stakeholders, analyzing large datasets using SQL and Python, building interactive dashboards with Tellius, and translating complex business problems into data science tasks. The Data Scientist will also partner with engineering, product, and business teams, presenting findings to diverse audiences, and staying updated on data science trends.
Good To Have:
- Exposure to machine learning (ML) and AI techniques.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience in a product-based or analytics SaaS company.
Must Have:
- 3+ years of experience in Data Science or related field.
- Strong proficiency in SQL for data querying and transformation.
- Hands-on experience with Python (pandas, numpy, matplotlib, etc).
- Hands-on experience with machine learning algorithms.
- Experience creating interactive dashboards in analytics tools.
- Proven ability to act as a business analyst.
- Excellent communication and stakeholder management skills.
Perks:
- 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.
- Flexible work culture and opportunities for learning and growth.
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.
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