Job Description

Data Scientist : As a Data Scientist, you will perform analysis, and be responsible for the implementation and support of large scale data and analytics for our clients. You will work in a team whose data science efforts range from exploration and investigation to the design and development of analytic systems. Skills and Qualifications: BS/MS in quantitative discipline (Math, Statistics, Engineering, or CS) Telecom Experience CDRs, Billing and Charging, CRM, DWH, BI good understanding Expert level experience working with SQL and relational data (3+ years on a regular basis). 5+ years of experience in the data science space with the end to end automated ecosystem including, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations. Experience in Telecom Data Science use cases Product Optimization, Predictive Analytics, Fraud Detection, Price Optimization, CLV, Churn Prediction, NBO, Targeted Marketing etc Generating data profiles including measures of central tendency, measures of deviation, and correlations in R, Python or other \'non big data\' technologies. Generation of basic charts (e.g. histograms, scatter plots, line charts) for data analysis purposes. Generating data profiles including measures of central tendency, measures of deviation, and correlations over Hadoop & Spark or other approved big data technology. Experience working with large scale machine generated data (e.g., log, application, or customer usage data). Ability to translate business questions into analytics techniques (regression classification, NLP, etc.) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations. Hands on experience with MPP databases, such as BigQuery, Vertica, etc. Expertise in advanced AIML algorithms & their applications, NLP, deep learning frameworks, computer vision. Ability to build scalable models using Python, R Studio, R Shiny, PySpark, Keras, Tensorflow The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Able to write technical reports for projects and/or internal collateral for training or internal assets. Able to deliver presentations during client meetings, conferences, or sales events to explain our offers, positioning, solutions to a technical and non technical audience. Defining tasks required to complete project goals estimating efforts and timelines.

foundit