Leading data science innovators drive business growth by leveraging advanced analytics and machine learning techniques.
As a Senior Data Scientist, you will be dedicated to driving strategy development for Analytics, Reporting, and Metrics building in line with overall Business Information Services goals.
* Collaborate with cross-functional teams to implement models and monitor outcomes.
* Develop processes and tools to monitor and analyze model performance and data accuracy.
* Apply business intelligence tools, such as Spotfire, for analysis and review.
* Design custom data models and algorithms to apply to large data sets.
* Provide specialist support for development, interpretation, and application of machine learning models.
* Utilize analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools.
* Work closely with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
* Liaise, advise, and negotiate with key customer groups on requirements and propose innovative solutions to meet their data modeling needs.
* Responsible for developing and implementing capabilities to make routine requests more efficient, structured, and streamlined.
* Contribute to initiatives that enable faster and more effective data modeling/analysis and provisioning.
* Ensure systems and code are inspection-ready.
To succeed in this role, you should have:
* 3-5 years of experience manipulating data sets and building statistical models.
* A Master's or PhD in Statistics, Mathematics, or Computer Science.
* Experience using statistical computer languages Python and SQL (R considered) to manipulate data and draw insights from large data sets.
* Experience working with and creating data architectures.
* Knowledge of various 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.
* Excellent written and verbal communication skills for coordinating across teams.
* A drive to learn and master new technologies and techniques.
As a leading data scientist, you will have the opportunity to work on challenging projects, develop your skills, and contribute to the growth of our organization.
This is a dynamic and collaborative environment where innovation and individuality are encouraged.