Data Scientist needed at Mimecast

What you’ll do

• Work cross-functionally with stakeholders across the business to evaluate, prioritize, and develop new Machine Learning and Generative AI powered solutions to solve business problems.
• Own, maintain, and optimize existing Machine Learning models, as required
• Work collaboratively with analysts, data engineers, and analytics engineers to bring data science and machine learning powered solutions to life.
• Partner directly with functional teams to bring data and analytics expertise to our decision-making processes.
• Contribute to the Data Science team’s capabilities as an internal expert on machine learning and advanced analytics.
• Foster stakeholder partnerships, and work to create a culture of collaboration and data literacy to increase the company’s analytics maturity.
• Present findings and technically challenging topics to a diverse group of technical and non-technical business stakeholders.

What you’ll bring

• Experience in data science, analytics or directly related area, during which both technical and analytical capabilities have been clearly demonstrated. 
• Prior success deploying machine learning solutions based on complex datasets at scale in production environments with an emphasis on creating impact to business outcomes. 
• Proven ability to extract actionable insights from statistical and machine learning powered models.
• Strong knowledge of the underlying mathematical foundations of machine learning algorithms including linear regression, classification methods, clustering algorithms, Random Forests, time series analysis, and deep learning. 
• Demonstrated excellence in using Python and SQL to develop data science workflows usings tools such as scikit-learn, Tensorflow, Snowflake, and dbt.
• Strong communication and presentation skills with the ability to explain complex concepts in a simple manner to colleagues & stakeholders.
• Demonstrated experience collaborating and working cross-functionally with teams and stakeholders to design and implement machine learning powered solutions.
• Strong understanding of best practices and KPIs around e-commerce, transactional and subscription-based products is a plus.
• Experience with building solutions and utilizing tools in AWS is a plus.
• Familiarity with generative AI techniques (LLMs, GANS, VAEs) and their applications in business operations is highly desirable.