The impact that you will be making
The role would require you to give end-to-end support to the product development and analytics services teams and maintain a strong relationship with our clients.
What lands you in this role
- Prepare and transform complex datasets using advanced data wrangling, cleansing and pre-processing techniques to ensure high-quality inputs for AI models, products and analytics.
- Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.
- Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development.
- Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.
- Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes.
- Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.
- Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.
- Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases.
- Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency.
Required Skills & Qualifications:
- 3 to 7 years of experience in AI analysis, data science, or related fields with a strong foundation in data pre-processing and statistical analysis.
- Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex code building and deployment.
- Advanced proficiency in SQL for handling large-scale datasets efficiently.
- Proficiency in hypothesis testing, descriptive analytics using EDAs and AI/ML techniques, and familiarity with statistical modelling, (e.g., regression, classification, clustering).
- Experience with Excel and Tableau for data visualization and storytelling.
- Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets.
- Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus.
- Exceptional analytical and problem-solving skills with attention to detail.
- Experience with the retail and CPG industry is a plus.
- Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.
What we offer
- An opportunity to be part of some of the best enterprise SaaS products to be built
- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
- A flat, collegial work environment, with a work hard, play hard attitude
- A platform for rapid growth if you are willing to try new things without fear of failure.
- Remuneration with best-in-class industry standards with generous health insurance cover.
