We are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning.
The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data.
As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning.
Ensure that the analytical plan aligns with the customer's overall strategic need.
Understand and identify appropriate data sources required for solving the business problem at hand.
Explore, diagnose and resolve any data discrepancies - including but not limited to any ETL that may be required, missing value and extreme value / outlier treatment using appropriate methods.
Execute project plan to meet requirements and timelines.
Identify success metrics and monitor them to ensure high-quality output for the client.
Deliver production-ready models that can be deployed in the production system.
Implementing the applications of these algorithms / methods / techniques in R / Python
1 years experience working Data Mining and Statistical Modelling for predictive and prescriptive enterprise analytics.
1 years of working with Python, Machine learning with exposure to one or more ML / DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK.
Minimum 6 months of experience in either Computer Vision or Natural Language Processing.
Exposure to ML / DL techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language.
Experience working with data retrieval and manipulation tools for various data sources like : Rest / Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS.
Strong verbal and written communication skills with other developers and business client