Your Role and Responsibilities

Master’s degree in a quantitative field such as computer science, applied mathematics, statistics, physics, engineering or finance•Overall Data Science, Statistical Analysis, Data Analytics & Machine Learning experience of 2-3 + years•Good knowledgeof applied methods in statistics, machine learning and artificial intelligence•Goodunderstanding of various AI/ML technology stacks including Cloud Based services•Experience in natural language processing, text analytics, data mining, text processing or other AI subdomains and techniques •Gooddata management and statistical modelling skills

•Experience with Scala/Python, Scikit-learn, TensorFlow, Keras, NLTK, PyTorch etc•Experience with leveraging best practices conducting advanced analytics projects•Experience in distributed & scalable ML development. Good PoV on TinyML and Embedded AI/ML•Apply data analysis, data mining and data engineering to present data clearly and develop experiments (A/B testing)

•Work with development teams to build tools for repeatable data science tasks that will accelerate and automate data scientist workflows•Ability to mine and analyze data from various sources to solve clients problems within multiple domains like marketing, HR, supply chain, operations, sales etc

•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.•Coding knowledge and experience with several languages: C, C++, Java,

•JavaScript, etc.•Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.•Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.•Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.•Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, tableau, power BI, looker etc.