Product Data Scientist

San Francisco, US, CA

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Celonis

The Celonis Process Intelligence Platform — powered by process mining — lets you reveal and realize the value opportunities hiding in your business processes - fast. Get started quickly and scale infinitely.

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We're Celonis, the global leading Process Mining software company and one of the world's fastest-growing SaaS firms. We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Product Data Scientist.

The Team:

As a member of the Engineering organization, the  Product Analytics & Data Sciences team works closely with the product and engineering teams and provides them with insight and analysis to enable them to make evidence-based decisions to meet their goals. We deliver actionable insights by collecting, organizing, and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and many more. We transform data into analytic assets by conducting exploratory analysis, identifying gaps, validating hypotheses, building statistical models, generating recommendations, and delivering actionable insights.

The Role:

As a Data Scientist in the Product Analytics & Data Sciences team, you will play a key role in developing and communicating data-driven insights that will help with strategic and tactical decision making in a hyper-growth environment. You will be the owner of an end-to-end process generating value by using your analytical and data science skills to build data pipelines, develop machine learning models and create visualizations to communicate findings and recommendations to engineers, managers and executives. In this exciting role, you will be involved with analyzing data, performing context deep-dives, building dashboards to deliver insights at scale, as well as facilitating data driven discussions between stakeholders across the organization. As a member of the Product Analytics & Data Sciences team you will also define the vision and roadmap for analytics within the organization.

The work you’ll do:

  • Serve as the data science expert on the team, building data-driven insights to deliver findings and recommendations to product and engineering teams
  • Build visualizations and written narratives to communicate quantitative insights and deliver them to leaders across the organization
  • Develop dashboards, as well as automate delivery of insights at scale to the organization
  • 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, ranging from identifying the data needed, building the pipeline, developing the analysis and communication the insights
  • Continuously create and engage in data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review as we scale

The qualifications you need:

  • Eager to work in a fast-growing organization with diverse and international teams spread across multiple locations
  • 10+ years experience with at least 6+ years as a Product Analytics Engineer / Data Scientist or similar partnering with product, engineering or growth teams 
  • Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. 
  • Proficient with SQL, designing ETL flows, building visualizations and dashboards. Confident in applying data science techniques to real world problems in Python.
  • Experience developing data driven insights and making recommendations to support Product and Engineering departments preferably at a SaaS or enterprise software company
  • Experience building predictive models along with the knowledge of how to evaluate their effectiveness 
  • Outcome-oriented with strong decision-making skills and the ability to prioritize multiple objectives while meeting aggressive deadlines
  • Have excellent written and verbal communication skills; exceptional attention to detail
  • Experience working in agile teams using collaboration software like Jira or similar

What Celonis can offer you:

  • The unique opportunity to work within a new category of technology, Execution Management
  • Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, mentorships, yearly development stipend)
  • Great compensation and benefits packages (stock options, 401(K) matching, generous time off, parental leave, and more)
  • Work from home support (mindfulness tools such as Headspace, monthly remote working stipend, flexible working hours, virtual events and workshops)
  • A global and growing team of Celonauts from diverse backgrounds to learn from and work with
  • An open-minded culture with innovative, autonomous teams
  • Employee resource communities to help you feel connected, valued and seen (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

About Us

Celonis believes that every company can unlock its full execution capacity. Powered by its market-leading process mining core, the Celonis Execution Management System provides a set of applications, and developer studio and platform capabilities for business executives and users to eliminate billions in corporate inefficiencies. Celonis has thousands of global customers and is headquartered in Munich, Germany and New York City, USA with 15 offices worldwide.

Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Different makes us better

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Science Data analysis Data pipelines Engineering ETL Jira Machine Learning Mathematics ML models Pipelines Python SQL

Perks/benefits: Career development Equity Flex hours Flex vacation Home office stipend Parental leave Startup environment Team events

Region: North America
Country: United States
Job stats:  1  0  0
Category: Data Science Jobs

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