Celonis
Senior Product Data Scientist
Celonis, Palo Alto, California, United States, 94306
The Team:
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.
The Role:
As a Product Data Scientist in the Product Analytics & Data Sciences team, you will play a key role in developing and communicating data-informed insights that will help with strategic and tactical decision-making in a hyper-growth environment. You will partner with engineers and product team members to understand business problems and help define data solutions. You will build data pipelines for new data sources, develop machine learning models, and create visualizations to communicate findings and recommendations to engineers, managers, and executives. In this exciting role, in addition to crunching data, you will also need to facilitate data-informed discussions between stakeholders across the organization, through effective storytelling with meaningful insight.
The work you’ll do:
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.
The qualifications you need:
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
#J-18808-Ljbffr
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.
The Role:
As a Product Data Scientist in the Product Analytics & Data Sciences team, you will play a key role in developing and communicating data-informed insights that will help with strategic and tactical decision-making in a hyper-growth environment. You will partner with engineers and product team members to understand business problems and help define data solutions. You will build data pipelines for new data sources, develop machine learning models, and create visualizations to communicate findings and recommendations to engineers, managers, and executives. In this exciting role, in addition to crunching data, you will also need to facilitate data-informed discussions between stakeholders across the organization, through effective storytelling with meaningful insight.
The work you’ll do:
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.
The qualifications you need:
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
#J-18808-Ljbffr