Data Scientist (d/f/m)

Personio

Nov 13

Applications are closed

Job
Full-time
Mid Level
Munich

Requirements

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

Responsibilities

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.

FAQs

Do we support remote work?

Yes, we do remote work in a hybrid format, allowing approximately 50% remote and 50% in-office working.

What are the office locations for this position?

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

What is the required experience for this role?

Candidates should have 4+ years of experience working with data to solve business challenges and collaborating with stakeholders.

What educational qualifications are needed for this position?

A university degree in Statistics, Economics, Computer Science, or a related field is required.

Is experience with MLOps considered beneficial for this role?

Yes, prior experience with MLOps is considered a plus.

What skills are necessary for success in this role?

Critical thinking, proficiency in SQL, and expertise in statistical analysis, causal inference, and machine learning methods are necessary for success.

What type of projects will I be working on?

You will be working on creating impactful data products that provide actionable insights to drive strategic business decisions.

Are there opportunities for personal development and training?

Yes, there is an annual personal development budget that can be used for professional memberships, external certifications, conferences, and more.

How many vacation days do employees receive?

Employees receive 28 days of paid vacation, plus an additional day after 2 and 4 years of service.

Does Personio support family leave and mental health initiatives?

Yes, Personio provides generous family leave, child support, mental health support, and sabbatical opportunities through PersonioCares.

Personio

Enabling Better Organisations - Europe's most valuable HR tech company

Technology

Industry

1001-5000

Employees

2015

Founded Year

Mission & Purpose

Personio’s all-in-one software makes HR processes as efficient and effective as possible so organizations can focus on what matters: people.