Data Scientist (d/f/m)

The Role: How you'll make an impact at Personio

This position can be hybrid from one of the following office locations: London, Munich, Dublin, or Berlin.

Bring your skills. Drive our decisions. Data is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio.

Personio is experiencing rapid growth, and with it comes an increased need for data to inform our Revenue and Success (R&S) department’s strategies.

As a Data Scientist supporting R&S, you’ll play a vital role in uncovering actionable insights that drive our mission forward. You excel at analyzing data to understand the why behind trends and uncovering causal relationships that shape strategic decisions. By leveraging your expertise in statistics, machine learning, and data, you’ll create impactful data products that solve real-world challenges.

Role Requirements: What you need to succeed

• A university degree in Statistics, Economics, Computer Science, or a related field
• 4+ years of experience working with data to solve business challenges and collaborating with stakeholders
• Proven ability to use statistical analysis and causal inference to drive evidence-based decisions
• Critical thinking skills with the ability to distill company strategy, team goals, and specific needs into an actionable strategy and execution plan
• Proficiency in experimentation, statistical inference, prediction models, and probabilistic reasoning
• Strong SQL skills and proficiency in at least one programming language (Python, Scala or R)
• Prior experience with MLOps is a plus

Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

• Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
• Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!)
• Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative
• Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares
• Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework
• Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more
• Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations
• Engage in a high-impact working environment with flat hierarchies and short decision-making processes

Role Responsibilities: What you'll do

• Measurement: Focus on identifying and tracking the right metrics to distinguish meaningful signals from noise, providing clearer insights for impactful decisions.
• Data Products Ownership: Take full ownership of data products, from ideation through production, with a commitment to continuous improvement rather than delivering one-off models.
• Team Collaboration and Tooling: Enhance the data science team’s effectiveness by improving tools, infrastructure, A/B testing frameworks, and model deployment capabilities.
• Data Enrichment: Lead the collection and integration of new data sources in alignment with the Data department’s strategic goals, enhancing insight quality and model performance.
• Advanced Analytics: Leverage statistical and machine learning methods to produce actionable insights that directly drive strategic business decisions.
• Clear Communication: Effectively communicate insights and recommendations to both technical and non-technical stakeholders, ensuring clarity and alignment across the organization.