Manager, Marketing Data Scientist

What We DoManaging Cyber Risk Together – As the world becomes increasingly connected, the demand for cybersecurity solutions has never increaser. Forescout stands at the forefront of this critical need, delivering automated cybersecurity that ensures continuous alignment between our customers’ security frameworks and their evolving digital environments. Our platform protects all asset types, including IT, IoT, OT, and IoMT, helping organizations navigate and secure the complexities of the modern connected world.Join us in securing the world. We seek resourceful, driven individuals to collaborate as one team, delivering exceptional customer experiences. We’re passionate about tackling the toughest security challenges and staying ahead with innovative solutions. Here, every idea is valued, and visionaries are welcomed. Bring your unique perspective and help shape the future of cybersecurity with us. 

Overview 

Forescout is seeking a Manager of Marketing Data Science to lead our data-driven marketing initiatives. This role demands a seasoned leader with extensive experience in data science and the ability to manage complex, large-scale data projects within a B2B environment. The ideal candidate will have more than 10 years of professional execution experience in data science, making them well-suited to drive strategic decisions and influence marketing outcomes significantly.

What You Will Do 

You will oversee the strategic application of vast amounts of data from multiple systems, guiding mass data updates and sophisticated modelling to enhance marketing reporting and effectiveness. This position requires a high-calibre professional capable of steering complex data initiatives and formulating strategies that impact the entire marketing landscape.

Data Strategy & Advanced Analytics

• Develop and execute advanced marketing analytics strategies, including predictive and prescriptive modeling, to forecast market dynamics and enhance business outcomes at an executive level.
• Champion the use of advanced statistical models and machine learning techniques to optimise marketing campaigns and drive data-driven decisions. 

Big Data Management & Engineering

• Manage the strategic use of big data technologies, designing data architectures and data governance frameworks that ensure data integrity and utility across the organisation.
• Oversee data pipelines, ETL processes, and data integrity measures using technologies such as Hadoop, Spark, Snowflake, Redshift, and BigQuery.

Predictive Modeling & Machine Learning

• Lead the creation and deployment of predictive models using algorithms such as random forests, gradient boosting, and neural networks to predict customer behaviors and optimise marketing ROI.
• Implement and manage MLOps practices to ensure efficient deployment and monitoring of machine learning models across marketing functions.

Data Integration & Advanced Data Manipulation

• Ensure robust data integration from various marketing platforms like Salesforce, Marketo, and 6sense, using sophisticated ETL tools and data manipulation techniques.
• Handle complex data manipulations and transformations to maintain a cohesive data environment that supports comprehensive marketing strategies.

Reporting, Visualisation & BI Strategy

• Develop and maintain dynamic, interactive dashboards and visualisations that provide real-time insights into marketing performance, tailored for diverse stakeholders.
• Craft and implement a BI strategy that supports executive-level decision-making and strategic marketing planning.

Quantitative Research & Advanced Statistical Techniques

• Employ advanced quantitative methods like Monte Carlo simulations and Bayesian inference to support and refine marketing analytics.
• Continuously evolve analytical models based on new data and business requirements to stay ahead of market trends.

Cross-Functional Collaboration

• Collaborate with Demand Generation, Product Marketing, Sales, and Executive Leadership to align data strategies with business objectives.
• Mentor and guide a team of data analysts and scientists, promoting a culture of data literacy and analytical rigor within the marketing department.

What You Will Bring To ForescoutRequired Skills & Qualifications  

• A proven track record in data science leadership, particularly in a B2B SaaS or technology-focused enterprise.
• More than 10 years of professional experience in data science execution, with a deep understanding of data management, analytics, and strategic applications.
• Advanced degree in Data Science, Mathematics, Statistics, Computer Science, or a related quantitative field.
• Strong proficiency in SQL, Python, and R, along with experience in big data technologies and data warehousing solutions.

Preffered Skills 

• Strategic thinking and excellent communication skills, capable of engaging senior stakeholders in data-driven initiatives.
• Familiarity with cloud technology, advanced modeling techniques, and data governance best practices.

What Forescout Offers You

Our visionary leadership team fosters an environment that encourages professional growth and development. We champion a diverse and inclusive culture that cultivates collaboration and innovation, where our team can make a global impact on security while working with industry-leading technology. We take pride in offering a competitive total compensation package. If you have a strong work ethic, are visible and lean in, you will be recognised. We are in growth mode and there is a ton of opportunity at Forescout. Apply now to find out more! 

More About Forescout

Forescout Technologies, Inc., a global cybersecurity leader, continuously identifies, protects and helps ensure the compliance of all managed and unmanaged cyber assets – IT, IoT, IoMT and OT. For more than 20 years, Fortune 100 organisations and government agencies have trusted Forescout to provide vendor-agnostic, automated cybersecurity at scale.The Forescout Platform delivers comprehensive capabilities for network security, risk and exposure management, and threat detection and response. With seamless context sharing and workflow orchestration via ecosystem partners, it enables customers to more effectively manage cyber risk and mitigate threats. Learn more at www.Forescout.com.Our Mission To continuously identify, protect, and ensure the compliance of all cyber assets across the modern organisation.   Our Vision A world where every cyber asset is seen, secure and compliant.  Our Cultural Values 

• Cyber Obsessed – We are curious about technology, and we are innovative and passionate about solving big programs.
• Customer Driven – We listen, we learn, and we make it right.
• Collaborative, without Ego – No one succeeds alone. We strive to be the humble person that people want to work with.
• Relentless – We're smart, determined, and find a way. We figure stuff out.
• One Team – We all work together, and we all win together.

 Our DEI Statement At Forescout, we are committed to fostering a diverse, equitable, and inclusive workplace. We believe that diversity of background, experiences, and perspectives leads to innovation, creativity, and better decision making. We strive to create an environment where all team members feel valued, respected, and empowered. We actively promote equal opportunities and fair treatment for all individuals, regardless of their race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, disability, status as a protected veteran, or any other characteristic protected by law. By embracing Diversity, Equity and Inclusion, we aspire to build a successful culture where we work together and win together as One Team.NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Forescout does not accept unsolicited resumes from employment agencies.  All resumes submitted by employment agencies directly to any Forescout employee or hiring manager in any form without a signed Employment Placement Agreement on file and search engagement for that position will be deemed unsolicited in nature.  No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. 

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