Crayon Data - Data Scientist - Machine Learning (5-8 yrs)

Role : Sr Data Scientist.

Experience level : 5 to 8 years.

Location : Chennai.

Who are we :

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world's choices.

Our flagship platform, maya.ai, helps enterprises across the Banking, Fin-tech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data.

maya.ai's capability is driven by four "as a Service" components Data, Recommendation, Customer Experience, and Marketplace that work individually and together to create tangible results.

Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore.

Job overview :

In this role, you'll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation.

Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue.

Can you say "Yes, I have!" to the following :

- 5+ years of experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data.

- B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related fields. PhD is a plus.

- Good understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models.

- Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, or Tensorflow.

- Hands-on experience in using Spark (Scala or Pyspark) to process data at large scale and database schema design for ML pipelines a must.

- Contribution to open-source ML packages/research publications will be a huge bonus.

Can you say "Yes, I will!" to the following?.

- 5+ years of experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data.

- Good understanding on statistical models like hierarchical models, stochastic models, time series, survival and econometric models.

- Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, Tensorflow.

- Hands-on experience in using Spark (Scala or Pyspark) to process data at large scale and database schema design for ML pipelines a must.

- Contribution to open-source ML packages/research publications will be a huge bonus.

Brownie points for :

- Alignment with The Crayon Box of Values -because skills can be acquired, but values cannot!.