Skills And Tools:
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.
- Recruit, train and lead a team of data scientists.
- Responsible for the organization’s data science strategy.
- Establish new systems and processes and look for opportunities to improve the flow of data.
- Research and develop statistical learning models for data analysis.
- Horizon scan to keep up-to-date with latest technology trends.
- Communicate results and ideas to key decision makers.
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop processes, data models, algorithms and tools to monitor and analyze model performance and data accuracy.
- 7+ years of practical experience with SAS, ETL, data processing, database programming and data analytics.
- Extensive background in data mining and statistical analysis.
- Able to understand various data structures and common methods in data transformation.
- Excellent pattern recognition and predictive modeling skills.
- Experience with programming languages such as Java/Python an asset.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Strong problem solving skills.
- Excellent written and verbal communication skills for coordinating across teams.
- Interest in predicting trends and identifying patterns.
- Innovative thinking.
- Observation skills.
- Critical thinking.
- Interest in statistics.
- Planning, time management and organizational skills.
- The ability to deliver under pressure and to tight deadlines.
- Great attention to detail.
- Teamwork skills and a collaborative approach.
- Investigative skills.
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