Senior Manager, Data Science (Remote)

Your opportunity
As the Product Analytics Senior Manager, you will play a crucial role in leveraging data to inform product strategy, optimize user experiences, and drive business growth. You will lead a team of analysts, fostering a culture of data-driven decision-making and continuous improvement. As a hands-on leader, you will lead the technical work on key projects setting standards of excellence in data science, analysis, executive communication and execution for the team. The ideal candidate is a motivated leader who is business oriented as well as technically strong, thriving in ambiguous problem spaces with a strong track record of execution.


What you'll do

• Provide technical leadership, including guiding the team on best practices in data analysis, modeling techniques, model monitoring and tool selection
• Lead and manage project initiatives for the Product Analytics team, ensuring alignment with business goals and timely delivery of high-impact results
• Investigate user behavior patterns to identify opportunities for improving product adoption, engagement, and retention of our observability tools
• Develop and implement strategies to build product stickiness and reduce churn, including the creation and tracking of relevant metrics for observability products
• Track KPIs across the product organization and perform root cause analysis on significant changes or anomalies
• Collaborate closely with Data Engineering teams to ensure data quality, accessibility, and efficient pipelines
• Provide strong people management, including performance evaluations, career development planning
• Mentor and upskill team members, fostering their professional growth and enhancing the team's overall capabilities
• Oversee hiring and onboarding processes to build and maintain a high-performing analytics team
• Develop and maintain comprehensive documentation of analytics processes, methodologies, and findings
• Foster a positive team culture that promotes innovation, collaboration, and continuous learning

This role requires

• Minimum of 7 years of experience in advanced Analytics and data science, with a significant portion in leadership roles
• Experience spearheading cross-functional initiatives that impact the entire organization
• Python programming skills for data manipulation, analysis, and DS modeling
• Solid understanding of statistical concepts and their application in business contexts
• Hands-on experience with at least 3 of the following modeling and predictive analytics techniques such as
• Supervised learning: regression, decision trees, random forests, gradient boosting machines (e.g., XGBoost, LightGBM)
• Unsupervised learning: clustering (K-means, hierarchical), dimensionality reduction
• Time series analysis and forecasting methods (ARIMA, Prophet)
• Model evaluation metrics and validation techniques (cross-validation, ROC curves, confusion matrices)

Bonus points if you have

• Experience with cloud-based machine learning services (preferably AWS SageMaker) specially MLOps
• Experience in the observability or APM space
• Familiarity with New Relic's products and services
• Experience with AI/LLM tools for productivity, Analytics and DS