Senior Data Scientist

Job description –

We are a data science company. We have created powerful modular data-leading technologies that are decisive for our customers. We believe that data is ubiquitous, so the application of data science has nothing to do with the industry. We have changed the customer experience of several telecom giants in India and provided retail 3.0 services to leading retailers in India. After insurance, banking, and healthcare, we now work in manufacturing to help them optimize heavy processes.

About the position: – As a senior data scientist, you will help us discover information hidden in large amounts of data and develop our AI/ML functionality.

Responsibility-

• Your main focus is to lead the application of data mining technology, perform statistical analysis, build high-quality forecasting systems, and provide customers with data-driven intelligence.
• Minimum qualifications and experience: – 6 years • 8 years of rich machine/statistical learning implementation experience solutions for large-scale complex business problems. – Rich experience in various machine learning techniques such as regression, classification, decision tree collection (bagging, Promotion, random forest, etc.), support vector machine, artificial neural network, clustering, dimensionality reduction, etc. – Intermediate capabilities (coding, scripting, and prototyping skills) in Python or R expected qualifications. Experience: – Bachelor/Master degree in Computer Science or related majors
  

  Claim-

• Experience in implementing statistical modeling techniques (such as regression series) – Product experience will ionize machine learning models based on analyzed SaaS (software as a service) products – expert proficiency using Python or R or both (good coding, Scripting and prototyping skills) – Familiar with and familiar with big data stacks: Hadoop, Hive, Spark, Map Reduce and other big data tools and technologies – Learn about database management systems such as RDBMS, NoSQL, MongoDB, and more.