Director, Data Science (REMOTE: US)

About the position

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.

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

Requirements

• 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

Benefits

• Competitive salary
• On Target Earnings (OTE) inclusive of base and variable pay
• Equal opportunity employer