Data Scientist

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.
  

• 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.