About SplashLearn

At SplashLearn, our vision is to build the most engaging learning experiences that transform children into lifelong learners. We are the world's first scientifically designed, game-based curriculum spanning pre-kindergarten to Grade 5.

Loved by a whopping 40 million learners across 150+ countries and trusted by over 750k teachers and 180k schools, SplashLearn is the fastest growing elementary math program in the US. If those numbers seem too abstract, consider this: Every 1 in 3 schools and 1 in 7 elementary school children in the US love SplashLearn!

Backed by Accel Partners and many other prominent investors, SplashLearn has bagged many prestigious edtech awards such as the Stevie Award for the best edtech product, Tabby Award for best business, Parents Choice Award and Best App Ever Award

We are looking for Data Scientist who help us explore and derive insights hidden in vast amounts of data, and help us make data-driven decisions to improve and enhance our products. Your primary focus will be in doing statistical analysis, applying machine learning techniques for building high quality recommender and prediction systems in and around our products.

• Build, test and deploy prediction and recommendation models to solve business and product needs, e.g. pricing optimisation, games/ content recommendation, churn prediction, customer segmentation, building adaptive engines
• Work with large data sets and apply advanced analytical methods as needed, deriving valuable insights from data to drive business and product outcomes
• Develop deep understanding of the products and collected data points, enhance data collection procedures to include information that is relevant for building prediction and recommender systems
• Process, cleanse, and verify the integrity of data used for analysis, build ML pipelines to provide insights at scale.
• Present analysis and insights to stakeholders and advocate for positive change

• Professional degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Data Science) or equivalent practical experience.
• At least 3 years of work experience in machine learning/ deep learning related field and in-depth knowledge of advanced analytical methods
• Should be able to work independently, select the right tools, algorithm and technology for the problem at hand
• Excellent verbal and written communication skills (including presentation skills)
• Experience in Pythons, SQL and building ML pipelines

Culture at SplashLearn

At SplashLearn, we dig individuality. We love people who have something to say, and we listen. With us, you will get a chance to weave a little bit of you in our suite of learning products that are being used by millions of users. We have a workplace that is perennially high on energy. You can find people deeply engrossed in conversations that range from the latest movie to the newest tech on the block, and you will also see people who don’t want to have anything to do with that and are quietly typing away on their machines.