Increase speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products at Wind Creek
Requirements
- Two (2) years of hands-on Data Science, Machine Learning, Deep Learning experience
- Two (2) years of experience with One (1) programming languages (e.g., Python, R) and One (1) querying languages (e.g., SQL)
- Practical experience in A/B testing and causal inference
- Experience developing large-scale real-time ML system
- Experience in MLOps
- Experience in at least one Cloud Platform (Azure, AWS, GCP)
- Experience in big data technologies such as Hive, Spark, and Airflow
Responsibilities
- Design and implement machine learning models at scale from inception to business impact
- Design and guide experiments/analysis to measure impact and drive product improvements
- Initiate, develop, and maintain data pipelines with outstanding craftsmanship
- Help Wind Creek grow cutting-edge and innovative Data Science capabilities
- Work as part of a growing and cross-functional agile team that includes data scientists, machine learning engineers, software engineers, analysts and business partners
- Use Wind Creek’s large-scale Azure Cloud Platform and data resources to generate deep understanding of our customers and products
- Be a thought leader at Wind Creek - predict future areas of innovation
Other
- High School diploma or GED required
- Associate’s Degree in Related field- required
- Ability to communicate effectively with both technical and non-technical stakeholders
- Willing to work odd and irregular hours including nights, weekends, and holidays
- Willing to travel and participate in training as recommended or required
