Senior Machine Learning Engineer

Flipp's Machine Learning Engineering team develops and deploys machine learning models and algorithms to enable systems to learn from data, make predictions, and automate decision-making processes, driving innovation and efficiency across various domains.

Work with the Product, Engineering, and Analytics teams to further the use and understanding of data across the organization. Create capabilities and analyses that can be leveraged to further the overall strength of data products and data driven decision making across Flipp. Mentor machine learning scientists while raising the standard for machine learning amongst the team.

• Framing and evaluating experiment results in order to inform product owners of current or future data science capability impact

• Communicating experiment results and opportunities to product teams
  Provide consultation and education to product teams to increase buy-in on data-driven collaboration opportunities

• Perform advanced analyses of user behaviour and operational content data to identify and understand data science opportunities, frame problems, and prototype solutions that drive key business metrics from an ambiguous problem space
  Data Science Modeling

• Oversee, design, build and maintain key statistical or machine learning solutions to advance product features or augment analyses for decision making

• Oversee, design and develop prototypes and approaches that leverage advanced statistical and machine learning algorithms including recommendation systems, bayesian statistics, segmentation, NLP and deep learning.

• Mentoring junior/intermediate machine learning scientists in their learning and development
  Providing guidance to team members in problem framing, technical approach and code by providing engaged and constructive feedback with an ownership mindset to all work quality that is output by the team

• Providing support to the data science leadership team in identifying potential challenges and discussing optionality to overcome them

• Effectively building and communicating technical strategies with built-in optionality to leadership by leaning on skills in scenario analysis, understanding of game theory and by considering the implications of strategic choices

What you'll bring to the team:

• Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field

• 4 years of relevant experience in data science focused on machine learning or similar field

• Experience doing quantitative analysis

• Experience in working with Scala, Spark, Python, R and related big data technologies

• Experience with large data sets and distributed computing (Spark)

• Experience constructing data models using predictive analytics & strong statistics knowledge

• Experience with recommendation systems & personalization

• Ability to initiate and drive projects to completion with minimal guidance

• Ability to communicate the results of analysis

• Strong passion for empirical research and data driven decisions

• Deep knowledge in data mining and machine learning

• Data visualization experience to present findings at the appropriate level of detail for product teams.