We are hiring for Data Analyst who are able to use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.
 

Responsibilities: 
- Design, develop and evaluate highly innovative models for predictive learning.
- Establish scalable, efficient, automated processes for large scale data analysis.
- Should have experience in machine learning, deep learning, modelling techniques, data preparation, data wrangling, train model, test model and deployment.
- Also having experience in developing interactive chatbots.
- Statistical modeling techniques such as Pattern Mining,Decision trees, Support Vector Machines,Random Forests,Random Forests,Association Rule Mining
- Must have strong concepts on Algorithm & Data Structure.
- Strong understanding of theories, principles, and practices of above techniques.
- Excellent hands-on knowledge of modeling tool, either python.
- Good to have exposure in MapReduce, Spark.

Required :
Data Science (Mandatory) : Statistical model building, Ensemble methods, deep learning, supervised and unsupervised learning.
Technical skills (Mandatory) : Python, Cloud computing (GCP or AWS), Advanced Excel.
Technical skills (Desirable) : Big data, Hive, Hadoop, Power BI or equivalent visualization tool, Spark
Soft skills : Excellent Communication skills, Self-driven and innovative.
 

Key Skills: Data Analyst, PYTHON, Excel, Indeed, Data Science, Big Data, Hive, hadoop,Power BI, Spark, Statistical modelling, career builder, Monster, Machine learning, AWS.