Data Scientist

About the role

The Data Scientist is part of the centralized Data Science Team for Gilbane, which is responsible for data analysis, AI and ML use case development.

Responsibilities

• Answer business questions fully “end to end” by translating business questions into ones answered with advanced analytic techniques (statistics, machine learning etc.); create and present documentation of findings back to business leaders with minimal supervision from Analytics Team.
• Deep understanding of statistics, scientific research methodology, predictive models, and machine learning. Able to select and implement appropriate approach to various analytics problems.
• Regularly interact with non technical stakeholders to deliver analyses and answer questions on deliverables.
• Execute on various aspects of the data science strategy using inferential or predictive models.
• Coordinate with Business partners in a consultant capacity, undertaking needs analysis, data collection, prioritization, training and support.
• Coordinate with technology partners on data mining and collection utilizing SQL, R, Python, Excel, Microstrategy, and other tools for analysis and presentation. Data cleaning, joining, restructuring, model development, process automation etc.
• Preparation and delivery of analysis and data visualizations that meet the needs of the customers as defined in the needs analysis.
• Desire to learn and apply new data science techniques in the service of solving business problems regularly increasing in scope and complexity.
• Experience with analytics consulting, delivering analytics to Executives / C-Suite stakeholders, data pipeline developement, process automation, model deployment etc. desired.

Qualifications

• Masters Degree in Statistics, Applied Math, Industrial or Research Psychology, Biostatistics, Computer Science/Information Systems or related field
• 5 + years practical experenience with data processing, programming and analytics
• 3+ years practical experience building statistical or machine learning models and communicating results to business leaders.
• Or equivalent combination of education and experience

Qualified applicants who are offered a position must pass a pre-employment substance abuse test.

Skills

• Business acumen and business problem solving skills
• Extensive background in data mining and statistical analysis
• Extensive experience with statistical software such as SAS, R, Python, SPSS, or other programs
• Strategic thinking skills – seeing the big picture, clarifying strategic objectives, identifying relations, patterns and trends, thinking creatively, analyzing