Data Scientist

As a Data Scientist, you ll bring a deep understanding of big data and will help the T+IL to build and enable big data analytics solutions.

WHO YOU ARE

Domain expertise

• 10+ years in Senior engineering and technology roles working with product development teams, delivering and building digital products while remaining hands-on
  
• Minimum of 5 years of experience in data science
  
• Understanding of high performance algorithms and Python statistical software
  
• Experience in industry data science (e.g., machine learning, predictive maintenance)
  
• Capability to architect highly scalable distributed systems, using different open source tools
  
• Demonstrated experience with agile or other rapid development methods
  
• Demonstrated experience with object oriented design, coding and testing patterns as well as experience in engineering software platforms and large scale data
  
• Experience in developing presentations and communications to be shared with internal and external stakeholders
  
• Expert knowledge of data modeling and understanding of different data structures
  
• Experience using big data batch and streaming tools
  
• Individual skills
  
• Excellent problem solving, critical thinking, and communication skills
  
• Able to build a sense of trust and rapport that creates a comfortable & effective workplace
  
• Mindsets and behaviors
  
• Brings a high-energy and passionate outlook to the job and can influence those around them
  
• Passion for innovation and can do attitude
  
• Education
  
• Master s or PhD Degree in Information Technology, Computer Science, or a related quantitative discipline
  

Requirements

WHAT YOU LL DO

• You ll bring deep functional expertise to shape data structures and algorithms in a distinctive way to ensure large-scale business impact of the digital Products being built and drive competitive advantage.
  
• You ll collaborate with Data Head and developers to find opportunities to use company data to drive business solutions.
  
• You ll mine and analyze data from company systems
  
• You ll assess the effectiveness and accuracy of new data sources and data gathering techniques.
  
• You ll develop custom data models and algorithms to apply to data sets.
  
• You ll use Machine Learning and Artificial Intelligence to increase and optimize customer experiences, revenue generation, and other business outcomes.
  
• You ll partner with different functional teams to implement models and monitor outcomes.
  
• You ll conduct data wrangling, munging, exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
  
• You ll enable big data and batch/real-time analytical solutions that use emerging technologies
  
• You ll code, test, and document new or modified data systems to create robust and scalable applications for data analytics
  
• You ll ensure all automated processes preserve data by leading the alignment of data availability and integration processes
  
• Mine and analyze data from company systems
  
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  
• Develop custom data models and algorithms to apply to data sets.
  
• Use of Machine Learning and Artificial Intelligence in the areas of Predictive Analytics, Anomaly detection, and Time Series Analysis
  
• Coordinate with different functional teams to implement models and monitor outcomes.
  
• Conducts data wrangling, munging, exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
  
• Enables big data and batch/real-time analytical solutions that leverage emerging technologies
  
• Collects, parses, manages, analyzes, and visualizes large sets of data using multiple platforms
  
• Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics
  
• Ensures all automated processes preserve data by managing the alignment of data availability and integration processes
  

WHAT YOU LL DO You ll bring deep functional expertise to shape data structures and algorithms in a distinctive way to ensure large-scale business impact of the digital Products being built and drive competitive advantage. You ll collaborate with Data Head and developers to find opportunities to use company data to drive business solutions. You ll mine and analyze data from company systems You ll assess the effectiveness and accuracy of new data sources and data gathering techniques. You ll develop custom data models and algorithms to apply to data sets. You ll use Machine Learning and Artificial Intelligence to increase and optimize customer experiences, revenue generation, and other business outcomes. You ll partner with different functional teams to implement models and monitor outcomes. You ll conduct data wrangling, munging, exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) You ll enable big data and batch/real-time analytical solutions that use emerging technologies You ll code, test, and document new or modified data systems to create robust and scalable applications for data analytics You ll ensure all automated processes preserve data by leading the alignment of data availability and integration processes Mine and analyze data from company systems Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use of Machine Learning and Artificial Intelligence in the areas of Predictive Analytics, Anomaly detection, and Time Series Analysis Coordinate with different functional teams to implement models and monitor outcomes. Conducts data wrangling, munging, exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Enables big data and batch/real-time analytical solutions that leverage emerging technologies Collects, parses, manages, analyzes, and visualizes large sets of data using multiple platforms Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics Ensures all automated processes preserve data by managing the alignment of data availability and integration processes