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.
The Team:
The Product Analytics & Data Sciences team, a part of the Product & Engineering organization, empowers teams across the company to make evidence-based decisions. 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. .
The Role:
As a Sr. Staff Product Data Scientist, you'll be a pivotal leader within our Product Analytics & Data Sciences team, directly influencing critical decision-making in a hyper-growth environment. You'll own the end-to-end process of transforming data into significant value, leveraging your advanced analytical and data science expertise to oversee the development of robust data pipelines, sophisticated machine learning models, and compelling visualizations. Beyond your technical leadership, you'll be instrumental in fostering a data-driven culture, leading complex stakeholder discussions, and delivering impactful insights to engineers, managers, and executives through masterful storytelling. This role demands not only exceptional data expertise but also the ability to build and mentor a high-performing team, set long-term data science strategies, and champion innovative approaches to product analytics.
The work you'll do:
Perform a hands-on leadership role, serving as the organization's primary data science authority. You will guide the team in generating data-driven insights, translating complex information into strategic findings and actionable recommendations for product and engineering leadership. Essential skills include translating quantitative insights into compelling visualizations and narratives for high-level discussions and cross-functional organizational alignment.
Work closely with various departments (e.g. Engineering, Product Management, Value Engineering, Marketing, Sales) to understand their data needs, translate business problems into analytical solutions, leading by example, and ensure the insights generated are actionable and integrated into decision-making processes across the organization.
Leveraging sophisticated statistical analysis and advanced modeling techniques across diverse datasets, including product telemetry, incident logs, user journeys, sales, and infrastructure utilization. This effort aims to boost product adoption, enhance features, and improve customer satisfaction, all while optimizing resource utilization.
Contributing to the development and evolution of the company's data infrastructure, tools, and methodologies. This could involve evaluating new technologies, refining data engineering processes, establishing best practices for data governance and quality, and ensuring the data science team has the necessary resources and platforms to operate effectively and scale their impact.
Stay at the forefront of data science innovation and help define the organizational vision and strategic roadmap for analytics. You will also provide critical mentorship and technical leadership to data scientists and analytics engineers, fostering their growth and enhancing the data science function's technical prowess.
The qualifications you need:
Advanced Degree: Bachelors degree or equivalent with a strong focus on Mathematics, Computer Science, Data Science, or a related quantitative field. Masters or PhD preferred.
Extensive Experience: 15+ years of relevant experience, with at least 6+ years as a Staff Product Analytics Engineer / Staff Product Data Scientist or similar, demonstrating a proven track record of partnering effectively with product, engineering, and growth teams at a senior level.
Technical Mastery: Expert-level technical competence with advanced analytical tools for data extraction, visualization, and analysis (e.g., advanced SQL, Python with extensive libraries like Pandas, NumPy, Scikit-learn, PySpark).
Deep Statistical and Machine Learning Expertise: In-depth understanding and practical application of advanced statistical techniques, experimental design, and various machine learning methodologies for complex product challenges.
Big Data and Predictive Modeling Leadership: Demonstrated experience leading initiatives involving large and complex datasets, sophisticated predictive modeling, and the deployment of data products at scale.
Strategic & Outcome-Oriented Leader: Highly outcome-oriented with exceptional strategic decision-making skills, capable of prioritizing and driving multiple complex objectives to successful completion in fast-paced environments with aggressive deadlines.
Exceptional Communication & Influence: Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences, influence stakeholders at all levels, and drive alignment across teams. Meticulous attention to detail.
Agile Leadership & Collaboration: Proven experience leading and optimizing data science workflows within agile teams, leveraging collaboration software like Jira or similar to drive efficiency and transparency.
Leadership in a Dynamic Environment: Eager to lead and thrive in a rapidly growing organization with diverse and international teams spread across multiple locations, demonstrating strong cross-functional collaboration and leadership.
The base salary range below is for the role in the specified location, based on a Full Time Schedule.
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
The base salary range below is for the role in California, based on a Full Time Schedule.
$232,000-$310,000 USD
What Celonis Can Offer You:
Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more (https://careers.celonis.com/life-at-celonis/benefits) . Interns and working students explore your benefits here (https://careers.celonis.com/early-careers) .
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values (https://careers.celonis.com/life-at-celonis/values) that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.
About Us:
Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business @context to give customers a living digital twin of their business operation. It's system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video (https://academy.celonis.com/learn/video/discover-the-ems) .
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices (https://www.celonis.com/careers/candidate-notices)
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process (https://www.celonis.com/careers/privacy-notice/) .
Please be aware of common job offer scams, impersonators and frauds. Learn more here (https://www.celonis.com/careers/fraud-alert/) .
