Senior Data Scientist - Lexington, MA

The Data Science team is the advanced analytical engine of the AI Transformation team – we work to solve high-value business problems by using cutting-edge tools and techniques to develop actionable AI/ML driven processes at scale. This role will focus on taking over and improving existing machine learning models and working with stakeholders across departments to develop new tools utilizing Generative AI in addition to traditional AI/ML methodologies to transform the business. We are a team that is laser focused on providing the best experience and care to the users of our tools and taking on projects that have game-changing potential for the company.

At Mimecast we believe that AI can have a transformative impact on the business and it our job to make that a reality. We partner with business stakeholders to bring external AI powered tools to enhance processes and build custom AI solutions to drive top line growth. We’re data geeks at heart, but the business relies on us to break down the complex AI topics 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 its need for cutting edge tools to help achieve our ambitious goals

What You'll Do:

Take over ownership, maintenance, and optimization of existing Machine Learning models.
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.
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 5 years of work experience in data science, analytics or other related discipline, 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 driving 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 using tools such as scikit-learn, Tensorflow, Snowflake, and dbt.
Proven experience designing and developing tools and applications powered by LLMs.
Strong communication and presentation skills with the ability to explain complex concepts in a simple manner to colleagues and 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.

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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 [email protected].

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.