Crayon Data is a fast-growing big data company with a vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking and hospitality space. They use our choice engine Maya, to deliver digital, personal experiences centered around taste. We are a company with strong values and culture. And are champions of diversity. We have offices in Chennai and Singapore. Our client projects are currently in the US, London, UAE, India and SE Asia. We have entered the hyper growth phase. We need as many brilliant minds we can get, to join us on this exciting journey. If you are ready to get your hands dirty, while making lives simpler - talk to us!
Senior Data Miner
We are looking for data miners to design various data analytics services. Communicate with and present complex concepts to business audiences.
What you will do
Design algorithms for product development and build analytics-based product
Coordinate individual teams to fulfil client requirements and manage deliverables
Lead analytical projects and deliver value to customers
Manage and strategize business from an analytics point of view
Understand advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations
Be proficient in software packages such as SAS, R, Rapidminer for analytical modelling and data management. Experience in using Business Intelligence tools such as SAS, Microsoft, Tableau for business applications
Aptitude for analytical problem solving
Communicate and present complex concepts to business audiences
Capable of working effectively in a global team
You should have a minimum of 8 to 10 years of experience.
The position is based in Chennai, but requires travel to client location, in either Myanmar or Dubai
We are looking for Data Scientists to work on our global TasteGraphTM, to solve ambitious and complex problems. And drive customer engagement for marquee clients around the world.
What you will do
Translate business requirements to a set of analytical models
Perform data analysis (with a representative sample data slice) and build/prototype model(s)
Work with business users and/or data scientists to formulate model designs using large data sets
Provide inputs to the data ingestion/engineering teams on data requirements for model(s), in terms of size, format, associations and cleansing
Identify/provide approaches and data to validate the model(s)
Collaborate with the data engineering team to transfer business understanding, and get model(s) productised
Validate output along with business users
Tune model(s) to improve results provided over time
Understand business challenges and goals of clients to formulate approaches for data analysis and model creation to support their business decision making
Perform hands-on data analysis and model creation
Work in highly collaborative teams that strive to build quality systems and provide business value
Mentor junior team members
Understand business problems and address them by leveraging data, characterized by high volume and dimensionality, from multiple sources
Communicate complex models and analysis in a clear and precise manner
Build predictive statistical, behavioural or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modelling techniques.
Display a strong understanding of various types of recommender systems, like collaborative filtering, content-based filtering, association rule mining, etc.
Understand unstructured (text) data processing and NLP
Experience with matrices, distributions and probability
Hands-on experience in Java or Scala.
Demonstrate technical know-how on R, SAS, Matlab or equivalent statistical/data analysis tools, and possess the ability to transfer that knowledge to different
Proficient with relational databases, natural language processing and at least one scripting language – preferably Python/Ruby
Have a working knowledge of the big data tech stack including Hadoop, Spark and NoSQL databases like Couchbase, HBase, Solr, etc.
Have previous exposure to DevOps, containers like Docker, and cloud environments like AWS, Azure, etc
You need to have 5 to 10 years of experience in a similar, relevant role. You need to also have worked in the big data space before, alongside a big data engineering team (data visualization team and data and business analysts)
The position is based in Chennai but may require domestic and international travel.