On behalf of our client, we are looking for a Data Scientist who is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Perform feature extraction algorithms on numerical data, non-numerical data, and scale features.
Roles & Responsibilities:
Perform Exploratory Data Analysis (EDA) through review of visual analytics data to discover patterns and determine next steps, identify anomalies, outliers, and other data inconsistencies and create descriptive statistics for a dataset
Cleanse and transform data, resolve anomalies, outliers, and other data inconsistencies, standardize data formats and set the granularity for data
Initiate the efficient implementation of methods, tools, and algorithms, including preliminary data exploration, data preparation, data visualization, model calibration, and algorithm validation/verification using a comprehensive range of technologies (e.g. software packages, programming languages, computational environments)
Transform data into usable datasets through the development of data structures, designing a data sampling strategy, designing the data preparation flow
Required Qualifications & Skills:
5+ Years of doing Data Science and Model Development work
Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets
Expertise deploying ML and AI algorithms for solving real-world problems
Experience developing models using tools like Tensorflow and Keras.
Knowledge on Hadoop, Apache Spark, Hive, HBase, Kafka, Elasticsearch and Pig scripting is a plus
Software development in a Linux/Unix environment.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications
About McLean Intelligent Workforce:
McLean Intelligent Workforce is an independent firm specialized in recruiting top quality professionals for our clients.