Data Scientist utilizing Python and PySpark for demand forecasting. Collaborating with multiple teams to deliver end - to - end solutions while handling machine learning tasks.
About the role
- Senior Data Science Engineer developing automated tools and data products for AI capabilities with a focus on scalable systems and data process improvement.
Responsibilities
- Provide data subject matter expertise
- Responsible for understanding the systems & data environment.
- Research, explore, and tinker with new data design ideas and related technologies.
- Collaborate with internal/external data experts.
- Research & leverage technical documentation to gain a holistic understanding of the data domain.
- Support Analytics projects
- Work with data scientists to transform business requests into value-add data products and capabilities.
- Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.
- Assist in the development of the conceptual/logical data models or semantic layers with appropriate business contexts.
- Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.
- Tactical support of project activities: data access, understanding, engineering, visualization, and decision making.
- Elevate data and analytics skills in the business
- Help businesspeople better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc.
- Identify and guide natural data champions in the business to enhance the profitable use of data.
- Learn salient business concepts from data champions and enable them to creatively use data technologies.
Requirements
- 7+ years’ of Data Science experience
- Advanced experience with databases.
- Advanced Experience in Python, SQL, Spark, C#, etc.
- Advanced Experience in automating data pipelines and working with data transformation tools.
- Advanced experience working with internal business contacts to develop analytical reports.
- Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS).
- University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering).
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching)
- financial education and counseling resources
- up to 11 paid holidays
- 3 personal days
- 150 hours of vacation
- 40 hours of sick time
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