Amplify is looking for an experienced Data Science Manager to grow the application and impact of Data Science techniques within Amplify’s Sales, Marketing and Finance departments. This role will be pivotal to the growth of best practices in data analytics, and the introduction of experimentation and machine learning into these departments.
Requirements
- 2+ years experience working with dbt
- 2+ years experience with a Machine Learning operations platform like Snowpark ML, Databricks/ML Flow, AWS Sagemaker or equivalent
- 1+ years of experience developing data products that leverage Large Language Models/Generative AI.
- Expert in the training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost and a demonstrated ability to develop your teams’ capabilities.
- Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis) and a demonstrated ability to develop your teams’ capabilities.
- Demonstrated ability to turn vague business problems into projects which data science can address.
- Experience owning a portfolio of Data products, making strategic decisions about when to continue investing in a product or to deprecate it.
Responsibilities
- Work with a Product Manager to maintain a high-velocity and high quality data product delivery pipeline.
- Evaluate different implementation pathways and choose the one which best meets the constraints and allowances of the project at hand.
- Source, prioritize, evaluate, execute, and communicate the state of a Data project.
- Take responsibility for successful delivery against quarterly objectives, including leading your team in establishing best practices in estimation, requirements analysis, balancing trade offs, and executing against commitments.
- Identify gaps in Data Scientists’ tools and practices and work proactively to address these.
- Provide technical guidance, career development and coaching for data scientists.
- Maintain a pulse on the state of the art in Data Science and strategically introduce new tools or techniques to the Data Science function in order to grow their capabilities and efficiency.
Other
- 2+ years of experience as a technical team lead and a people manager.
- Excellent communication skills in writing and conversation, especially with non-technical partners.
- Experience leading agile teams and rituals like Storytime, Story Splitting, Story Estimation, and Retrospectives.
- Unlimited PTO policy and flexible work schedules.
- Remote first company, meaning that you can work from anywhere in the United States.
