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.
Pay: From ₹1,500,000.00 per year
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru Urban District)
