Data Analysis,Sql,Machine Learning. Data Science Position with Retail Knowledge in Supply Chain area like GRS, OMS, WMS etc is a must have.
Data Science Engineer
UST is looking for a candidate with Master’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field and 3+ years of experience in a Data Science Engineer role or Bachelor’s degree in computer Science and 6+ years of experience in a Data Science Engineer role Retail Knowledge in Supply Chain area like GRS, OMS, WMS etc is a must have Responsibilities We are looking for a candidate with Master’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field and 3+ years of experience in a Data Science Engineer role or Bachelor’s degree in computer Science and 6+ years of experience in a Data Science Engineer role This position requires the candidate to have Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural net-works, 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. Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc. Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. A successful history of manipulating, processing and extracting value from large disconnected datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Experience developing enterprise software products Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc. Experience supporting and working with cross-functional teams in a dynamic environment Experience working in an AGILE environment