▷ [Apply in 3 Minutes] Senior Data Scientist

About Cognida.ai

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Overview

We are seeking a Senior Data Scientist who balances exceptional technical expertise with strong business acumen. The ideal candidate will be equally proficient in technical data analysis using SQL and Python, and in understanding business contexts to deliver actionable insights that drive strategic decisions.

Key Responsibilities

- Partner with business stakeholders to understand objectives and translate them into analytical frameworks
- Design and execute analyses that directly address business challenges using SQL, Python, and other analytical tools
- Develop data-driven recommendations that align with organizational goals and strategies
- Communicate complex findings in business terms that resonate with executives and decision-makers
- Identify business opportunities through proactive data exploration and analysis
- Build and validate statistical models that solve real business problems
- Influence product and business strategies through data-backed insights
- Serve as a bridge between technical and business teams, effectively translating between domains

Technical Skills

- Strong Python programming skills with focus on data analysis libraries
- Experience building and deploying statistical and machine learning models
- Data visualization and dashboard creation for business audiences
- Data cleaning, transformation, and feature engineering expertise

Business Skills

- Demonstrated ability to understand business objectives and translate them into analytical questions
- Experience working directly with business stakeholders to define key metrics and success criteria
- Skill in presenting technical findings in business terms and recommending actionable strategies
- Understanding of business operations, market dynamics, and competitive landscapes
- Ability to prioritize analytical work based on business impact

Qualifications

- 8+ years experience in data science with demonstrated impact on business outcomes
- Bachelor's degree required; advanced degree in quantitative field preferred
- Track record of successful projects that combine technical excellence with business value
- Experience in collaborative environments working across business and technical teams

Personal Attributes

- Curious mindset that questions assumptions and explores beyond the obvious
- Strong communicator who can adapt message to different audiences
- Strategic thinker who connects data insights to broader business context
- Self-directed learner who stays current in both technical and business domains
- Comfortable navigating ambiguity and driving clarity through data