StepStone Group

Technology

(Senior)DataScientist-m/f/d

€85–115k ~AI est. Düsseldorf, Germany
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“(Senior) Data Scientist - m/f/d at StepStone Group. Skills: Data Science, Machine Learning, Data Engineering, Business Intelligence. Develop and implement data science models. Build and maintain data pipelines”

Industry & Context.

Technology

What They're Looking For.

Must Have

5+ years experience, Master's degree, SQL proficiency, Python proficiency

Nice to Have

PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio

What You'll Do.

Develop and implement data science models

Build and maintain data pipelines

Create and manage BI dashboards

Perform quantitative analysis

Collaborate with stakeholders

How You'll Work.

Team & Collaboration

Cross-functional teams; Stakeholders

Full Job Description

As a (Senior) Data Scientist, you will play a key role in advancing core areas of our platform, developing intelligent, data-driven solutions that meaningfully impact how millions of people find jobs and how employers connect with talent. You are positioned in the Marketing department and as such you are close to stakeholders, data scientists, engineers and analysts. You play a crucial role in bridging the gaps and you will directly help drive fairer, more effective and commercially efficient successes for jobseekers and recruiters. You build and optimize in-house algorithms, work with the latest NLP and generative AI techniques, and develop intelligent conversational agents while ensuring the seamless integration into business processes and enterprise systems in collaboration with engineering. * Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives. * Ensure stakeholders understand the value of AI-driven insights and leverage this knowledge to prioritize initiatives strategically. * Lead the development lifecycle of machine learning and AI solutions in Marketing, from problem formulation and data exploration to model development, evaluation, and deployment. You work closely with data engineers and developers to integrate your developed solutions into production environments. * Keep abreast of advancements in AI/ML technologies and apply cutting-edge techniques where appropriate. * Be an active member of our community: Collaborate with Data Science teams across the org to design intuitive interfaces and workflows for AI-driven recommendations and automation. Contribute to hackathons, training, and peer-to-peer knowledge exchange within the global data science community. ## Qualifications * Education: Master’s degree in Data Science, Mathematics, Computer Science or a related field * 5+ years of experience in data

Free ATS check

Applying for this (Senior) Data Scientist - m/f/d role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on SmartRecruiters

  • SmartRecruiters often includes a video screening step — check camera and mic permissions.
  • Link your GitHub or portfolio directly in the profile section for technical roles.
  • Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.

ANONYMOUS · UNFILTERED

What do employees actually say about StepStone Group?

Real rants from real employees. Read before you apply.

Read Company Rants →