The Analytics team is the front end for the BI team – we work directly with Mimecasters at every level of the business to both report on, and drive process change. At Mimecast we are growing our customer base fast, and because our customers love us so much they stay with us, and go on to sign up for more of our services. The Analytics team works with every department to ensure we maintain and improve on our success via actionable analytics, reporting solutions, and innovative advanced analytical tools.
At Mimecast we believe in getting the right data to the right people, at the right time to make data data-driven decisions, and it’s the BI & Analytics team’s responsibility to execute on that strategy. Self-service dashboards? Yes. Custom alerts based on statistical models of our data? Absolutely. Face to face presentation to Executives? The most senior people in the business know we’re the team to come to when faced with a new challenge, or to find out if the numbers support a new idea.
We’re data geeks at heart, but the business relies on us to break down all that data we’re excited about into clear, concise recommendations, with polish and zero jargon. We’re extremely proud of what we’ve accomplished so far, and as Mimecast grows so does the appetite for data, analysis, and insights.
Role and Responsibilities:
Lead, influence and contribute to Data Science capabilities as the thought leader and internal expert on machine learning and advanced analytical techniques
Partner directly with functional teams to bring data & analytics expertise to our decision-making process while maintaining a tight connection on the pulse of our business efforts.
Capable of explaining the most complex models in a succinct and digestible manner
Strong understanding of best practices and KPIs around e-commerce, transactional and subscription-based products
Demonstrated experience using complex data sets and building impactful analytics frameworks that scale
Responsible for ongoing training and enablement of the team and end stakeholders on data science topical areas
Works collaboratively across data engineering, analytics engineering & analytics team to bring data science and machine learning insights to life
Essential Skills and Experience:
A minimum of 5 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 at scale in production environments with an emphasis on creating impact to business outcomes.
Strong knowledge of underlying mathematical foundations of statistics and machine learning including the fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization
Strong communication and presentation skills to colleagues & executives with ability to explain complex concepts at in simple manner to tie back to business outcomes
Demonstrated excellence in a relevant AI/ML discipline, including experience with analytical tools, languages (R/Python/SQL) and ML model building with libraries such as Scikit, Tensorflow and PyTorch
Proven ability in extracting insights from statistical models, such as linear regression, clustering algorithms, random forest models, time series, Neural Networks, etc
Capable of communicating nuanced business needs to technical experts, and technically challenging topics to business stakeholders
Demonstrated experience collaborating with cross-functional teams and stakeholders to evaluate & prioritize new Machine Learning opportunities while balancing the maintenance and tuning of existing models
Strong stakeholder partnership and management approach, fostering a culture of collaboration, data literacy and up leveling our analytics maturity
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Why Mimecast?
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.
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.