Veeam®, the #1 global market leader in data protection and ransomware recovery, is on a mission to empower every organization to not just bounce back from a data outage or loss but bounce forward.

With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud.

The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps
and data are protected and always available.

Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.

The Director of Data Science role is responsible for leading the development of data science models and AI innovations that help Veeam make informed, predictive data-driven decisions. This senior role involves overseeing a team of data scientists and collaborating with various cross-functional groups to create sophisticated predictive analytical models and AI-based solutions. Additionally, the Director of Data Science will have a direct impact by using cutting-edge data science and AI capabilities to drive business growth and enhance organizational strategies. A key part of the role will be driving AI-based innovation and leading AI projects to ensure the company remains at the forefront of technological advancements.

The ideal candidate will bridge technical and business teams, fostering collaboration to boost productivity and efficiency. By working closely with stakeholders, they will derive valuable insights from complex data, drive innovative solutions, and ensure data security and scalability. The candidate will also spearhead AI initiatives, leveraging cutting-edge technologies to develop and implement AI-driven solutions that enhance customer experience and optimize operations.

Responsibilities:

Lead and mentor a team of data scientists in developing advanced machine learning models, dashboards, and visualizations for predictive analytics and decision-making
Conduct and supervise statistical analyses and experiment-driven predictive modeling to extract actionable business insights, leveraging cutting-edge machine learning algorithms
Present analytical findings and recommendations to stakeholders and leadership, utilizing AI for enhanced data interpretation and driving strategic decisions
Identify and leverage data opportunities with cross-functional teams through AI-powered data mining techniques and unstructured problem-solving
Lead the deployment of secure, scalable data science solutions using Python, R, SQL, and AI frameworks to address complex business challenges
Implement and monitor automated anomaly detection systems using machine learning to swiftly identify and address issues
Design comprehensive experiments to validate models, ensuring robust and reliable outcomes
Drive innovation by continuously exploring and integrating new AI technologies and methodologies
Optimize operational workflows using AI and machine learning techniques, enhancing efficiency and productivity
Develop and refine complex algorithms to solve unstructured problems, applying deep learning and other advanced techniques
Ensure robust data quality and integrity with AI-driven cleaning and validation procedures
Communicate complex analytical concepts in a clear and concise manner to stakeholders, fostering understanding and collaboration across teams

Key Success Factors:

Ability to leverage data opportunities through cross-functional collaboration using AI-powered techniques
Expertise in deploying secure, scalable data science solutions with Python, R, SQL, and AI frameworks
Proficiency in implementing and monitoring automated anomaly detection systems using machine learning
Aptitude in designing experiments to validate models, ensuring robust and reliable outcomes
Innovative mindset to explore and integrate new AI technologies and methodologies
Capability to optimize operational workflows with advanced AI and machine learning techniques
Skill in developing and refining complex algorithms to solve unstructured problems
Commitment to ensuring robust data quality and integrity through AI-driven cleaning and validation procedures
Effective communication of complex analytical concepts to stakeholders
Proven experience in leading complex data science projects from conception to implementation
Ability to drive data-driven decision-making through innovative visualizations and predictive models
Positive and proactive attitude when tackling challenging data science problems
Strong analytical skills for optimizing organizational performance
Advanced expertise in AI and Machine Learning, including model development, deployment, and AI-driven solutions for business processes

Qualifications:

Bachelor’s degree in Data Science, Machine Learning, Computer Science, or a related field; Advanced degree preferred
Extensive experience in Data Analytics, Business Intelligence, and Reporting, with a strong focus on statistical methods
Advanced expertise in AI and Machine Learning, including model development, deployment, and designing AI-driven solutions for business processes
Proficient in technologies like Python, R, and TensorFlow, with formal training in Data Science and hands-on experience in machine learning libraries and data visualization techniques
Expertise in SQL queries, Excel, PowerPoint, and SaaS systems like Salesforce
Advanced skills in collaboration tools such as JIRA, ServiceNow, and Confluence
Strong analytical skills and experience in AI-driven solutions
Experience with cloud computing platforms such as AWS, Azure, and Google Cloud
Proven ability to lead AI projects and implement innovative technologies that drive business value
Strong problem-solving skills and ability to handle complex datasets to extract actionable insights
Effective communication skills to articulate complex analytical concepts to technical and non-technical stakeholders

#LI-KS2

The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.

United States of America Pay Range

$228,100—$325,800 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

Director, Data Science (REMOTE: US)

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