Senior Data Scientist (#1018)

Our client is a Fortune 500 company and a bigger car safety systems manufacturer. We are looking for a skilled Senior Data Scientist to support them with their ongoing projects

Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Work closely with client to identify issues and use data to propose solutions for effective decision making
• Use machine learning tools and statistical techniques to produce solutions to problems
• Test data mining models to select the most appropriate ones for use on a project
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets

Requirements:

• Core tech requirement - experience with one of the following frameworks LightGBM, Random Forest, SARIMAX, ARIMA
• Experience in database interrogation and analysis tools, such as Hadoop, SQL and SAS
• Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, 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 working with and creating data architectures.
• Experience with at least one major ML framework
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Experience in Tableau/PowerBI (optional)
• Good understanding of software development methodologies
• Being result-oriented, ability to make things done in a highly dynamic and stressful environment
• Good communication skills and good English