Data Scientist

• Primary Skills: Python. SQL,ML,NLP,Data models,Data Insights
• Strong mathematical skills to help collect, measure, organize and analyze data.
• Knowledge of programming languages like SQL and Python
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Proficiency in statistics and statistical packages like Excel to be used for data set analyzing.
• Knowledge of data visualization software like PowerBI is desirable.
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions.
• Problem-solving skills
• Adept at queries, writing reports, and making presentations.
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis.
• Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods, model preparation and selection (feature engineering, PCA, model assessment), and modeling techniques (optimization, simulation)
• Proficiency in data analysis, modeling, and web services in Python. GPU programming experience.
• Natural Language Processing experience Ontology detection/Named Entity recognition and disambiguation and Predictive Analytics experience a plus.
• Familiarity with existing ML stack (Azure Machine Learning, scikit-learn, Tensorflow, Keras and others)
• SQL/NoSQL experience
• Experience with Apache spark with Databricks or similar platform for crunching massive amount of data
• Experience in leveraging AI in the CX (Customer Experience) domain a plus: Service (Topic Analysis, Aspect based sentiment analysis, NLP in Service context), Pre-Sales (Segmentation and Propensity Models) as well as Customer Success (Sentiment analysis, Best-Agent to Route, Churn Prediction, Customer Health Score, Recommender Systems for Next Best Action) using Machine Learning and Data Science for Recurring Revenue based business models

Software Development Skills

• Experience in SQL and development experience in at least one scripting language (Python, Perl, etc.), and one high level programming language (Java)
• Experience in containerized applications on cloud (Azure Kubernetes Service), cloud databases (Azure SQL), and data storage (Azure Data Lake Storage, File storage)