Senior Machine Learning Engineer - Hatch Global Search
New York, NY
About the Job
Job Description
Senior Machine Learning Engineer
New York, NY, United States
Responsibilities
- In this role, you’ll be embedded inside a vibrant team of data scientists
- You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools
- Important skills include data wrangling, feature engineering, developing models, and testing metrics
- Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
- Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver
Job description
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...
Responsibilities
• Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready.
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with data scientists to understand, implement, refine and design machinelearning and other algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
• Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver