Senior AI Analyst

Location: Bengaluru, India

Department: Customer Success

Experience: 3-7

• Prepare and transform complex datasets using advanced data wrangling, cleansing and preprocessing 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.

• 3 to 7 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing 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.

• 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.

• Ranked #72 in America’s Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc. 
• Ranked as one of America' s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
• Ranked as one of America' s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
• Featured as one of top 25 ML startups to watch by Forbes in 2019.
• Ranked as one of North Americas' fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020