Lead Data Scientist at New Relic Inc Canada

Portland, Oregon, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

204000.0

Posted On

08 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Analysis, Python, SQL, MLOps, Data Visualization, GenAI, User Segmentation, Churn Prediction, Time Series Forecasting, Cloud Computing, Data Transformation, Experimentation Design, Deep-Dive Analysis, Mentoring

Industry

Software Development

Description

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a Lead Data Scientist, you will be a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that power strategic decision-making. You will work at the intersection of product, engineering, and strategy to uncover deep insights from our vast telemetry data. In this high-impact individual contributor role, you will set the standard for technical excellence, architect scalable data science frameworks, and mentor junior data scientists, all while solving complex problems in the observability space. What you'll do Lead the design, development, and deployment of advanced ML models and predictive algorithms to solve critical business problems, such as churn prediction, user segmentation, and product usage forecasting. Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality. Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes. Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production. Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth. Mentor and coach other data scientists and analysts, fostering a culture of continuous technical learning and innovation. Communicate complex technical findings to non-technical stakeholders through compelling data storytelling and visualization. This role requires 7+ years of experience in DS, Statistics, or a related field, with a proven track record of delivering high-impact machine learning solutions. Expert-level proficiency in Python for data manipulation, statistical analysis, and model development (pandas, scikit-learn, numpy, etc.). Advanced knowledge of SQL for complex data querying and performance optimization. Strong hands-on experience with a breadth of modeling techniques, including: Supervised learning (Regression, Random Forests, Gradient Boosting like XGBoost/LightGBM) Unsupervised learning (Clustering, Dimensionality Reduction) Time series forecasting (ARIMA, Prophet) Experience with dbt for data transformation and maintaining clean, reliable data pipelines. Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts. Familiarity with software engineering practices (CI/CD, version control with Git, Jira). Strong communication skills, with the ability to influence stakeholders and explain technical concepts to business audiences. Expertise in developing or integrating GenAI models or AI agents into product and analytical workflows. Bonus points if you have Experience with cloud-based machine learning platforms, specifically AWS SageMaker. Background in the observability. Advanced degree (Master’s or PhD) in a quantitative discipline. Proficiency in data visualization tools (e.g., Tableau, Looker) to democratize insights. Please note that visa sponsorship is not available for this position. #LI-GK1 #LI-Remote The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant’s skills, qualifications, and experience. New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time-off, and other competitive benefits designed to improve the lives of our employees. Estimated Base Pay Range $163,000—$204,000 USD Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

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Responsibilities

As a Lead Data Scientist, you will lead the design and deployment of advanced machine learning models to address critical business challenges. You will also mentor junior data scientists and collaborate with product and engineering teams to derive insights from telemetry data.