The Data Science team at Mimecast is the advanced analytical engine of the Business Intelligence team, focused on solving high-value business problems using cutting-edge AI/ML tools and techniques. This role involves building and enhancing machine learning models, collaborating with stakeholders to develop new Generative AI tools, and transforming the business with actionable insights. We prioritize providing exceptional user experiences and taking on projects with game-changing potential. At Mimecast, we deliver the right data to the right people at the right time, supporting data-driven decisions with self-service dashboards, custom alerts, and executive presentations. As the company grows, so does our appetite for data, analysis, and insights.

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:

• A minimum of 3 years of work 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.

What We Bring:
We’re fast thinking. We go big to reach our cyberattack-disrupting goals. And we do what we need to protect the world of business from getting important (and potentially compromising) data stolen. We never leave anyone behind. We deliver quickly – and outstandingly. We’re big on honesty because it makes us better. We’re empowered by our mission. And if cybercriminals have a good day, we work twice as hard to make the rest of their days a nightmare. That’s The Mimecast Way. And the Mimecast way is also a hybrid-working way. We empower our people to balance their time between home and the office in a way that works best for them, their team, and our stakeholders Become a Mimecaster and put corporate data under your protection. Fill our teams with respect. And bring cybercrime-obstructing energy to your work. Be passionate. Be powerful. Be alive with purpose.

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DEI Statement
Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course.
We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.
We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.
If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com.
Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law

• 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