Data Scientist

Job Description

We are seeking an exceptionally talented Data Scientist for our team to develop a long-term roadmap for analytic capabilities. This is an opportunity to join an exciting digital operations team and drive efficiently through data science. The operations team is driven through data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.

As a Data Science engineer in the team, the candidate will be driving the analytics roadmap and will provide descriptive and predictive solutions to the operations team through a combination of data mining techniques and use statistical and machine learning techniques for segmentation and prediction. The candidate will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successful solutions. The candidate will play an integral role in developing multiple data-oriented solutions and models.

Job Responsibilities

• Work on cross-functional projects using advanced analytics and business analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain Machine Learning models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results & business impacts of insight initiatives to stakeholders within & outside company.
  
  

• 6+ years of experience in a position monitoring, managing, manipulating and drawing insights from data
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience and knowledge of statistical modeling techniques: Regression, Classification and Clustering algorithms
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Strong problem solving, quantitative and analytical abilities.
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills.
  
  

• The right candidate will also be proficient and experienced with the following tools/programs:
• Experience with data visualization tools: Tableau, Power BI, chart.js, etc.
• Experience with Apache, Big Data, SAS, Deep Learning, Cloud computing, Excel, Word, and PowerPoint