Data Scientist

Data Scientist
Responsibilities
Collecting data through means such as analyzing business results or by
setting up and managing new studies
Transferring data into a new format to make it more appropriate for analysis
Searching through large data sets for usable information
Creating new, experimental frameworks to collect data
Building tools to automate data collection
Correlating similar data to find actionable results
Creating reports and presentations for business uses
Skills Required
Statistics Frequentist & Bayesian C++, Python, R, PySpark, Juoyter Lab, Pycharm
Exploratory Data Analysis, Visual Analytics Oracle, MySQL
Windows, Linux A/B Testing
Hadoop, Spark, MLlib, Git Design of Experiments (DoE)
Natural Language Processing (NLP)
models
Pandas, Numpy, Matplotlib, Scikit Learn, Scipy and NltkTK in Python for developing
various machine learning algorithms.
Leadership and Communication Skills ML Algorithms: LR, SVM, Ensemble Trees, Matrix
Factorization, Neural Networks, Clustering
Analysis, Dimensionality Reduction Algorithms,
Optimization problems a plus
Experiences
Experience in linear algebra, especially sparse systems
Experience in data munging, data cleansing, feature selection, feature engineering.
Developed Recommender Systems
Developed forecasting model to predict revenue using Python libraries.
Candidate should be very client oriented, proactive, innovative, problem solver
Report this job Dice Id: ******** Position Id: 2024-386