Senior Product Data Scientist

Celonis • Palo Alto, CA

311d • $164,000 - $214,000

About The Position

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. As a member of the Engineering organization, the Product Analytics & Data Sciences team provides analytic support and a strategic perspective to the product and engineering teams to enable them to make evidence-based conclusions. We deliver actionable insights by collecting, organizing, and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well-crafted stories and critical recommendations.

Requirements

• Bachelor’s degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. Master’s preferred.
• 6+ years relevant experience as a Product Analytics Engineer / Data Scientist or similar, partnering with product, engineering, or growth teams.
• Technical proficiency with analytical tools for data extraction, visualization, and analysis (SQL, Python, Pandas).
• Strong understanding of statistical techniques and machine learning.
• Experience working with large datasets and predictive modeling.
• Outcome-oriented with strong decision-making skills and the ability to prioritize multiple goals while meeting deadlines.
• Have excellent written and verbal communication skills; exceptional attention to detail.
• Experience working in agile teams using collaboration software like Jira or similar.
• Eager to work in a fast-growing organization with diverse and international teams spread across multiple locations.

Responsibilities

• Serve as the data science specialist on the team, building data-informed insights to deliver findings and recommendations to product and engineering teams.
• Build visualizations as well as written narratives to communicate quantitative insights and facilitate discussions with data-informed insights.
• Employ statistical analysis and/or modeling techniques on a variety of data - product telemetry, incidents, user journeys, sales motions, infrastructure utilization, and others, to drive resource optimization, feature improvement, or product adoption-related initiatives.
• Collaborate with partners across the product and engineering teams to understand business motivations; formulate and deliver data analysis by engaging across all the steps of the process, including data gathering, building data pipelines, performing analyses, and delivering insights at scale.
• Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review.
• Effectively present and communicate analytical findings to stakeholders across the organization.

Benefits

• Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more).
• Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more).
• Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more).
• A global and growing team of Celonauts from diverse backgrounds to learn from and work with.
• An open-minded culture with innovative, autonomous teams.
• Business Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more).
• A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree