Data Scientist (m/f/d)

Karl Storz; Tuttlingen; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Flexible working hours & mobile work

30 vacation days

In-house seminar program

E-learning offerings

Corporate benefits

Bicycle leasing

Pension plan subsidy

Health management

Childcare options at headquarters in-T

Job summary

Karl Storz is seeking a data expert to own end-to-end data workflows, guide data engineers in scalable pipelines on Azure and Databricks, and apply AI/ML methods to extract strategic insights. You will bridge business needs with technical solutions across IT, sales and global teams.

Ideal candidates have a strong data science or engineering background, hands-on experience with Tableau dashboards, and a proactive, collaborative mindset in a hybrid work setting at Tuttlingen.

Qualifications

• Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or a comparable field, ideally with an advanced degree
• Extensive experience as a Data Scientist, Data Engineer or Data Analyst delivering end-to-end data projects
• Strong knowledge of Python and SQL, Microsoft Azure and Databricks, especially Spark and Delta Lake
• Experience in end-to-end data engineering: sourcing, ETL/ELT, data modeling, data quality and data architecture
• Experience handling structured, semi-structured and unstructured data and working in high-performance computing
• Applied knowledge of AI/ML, preferably NLP and generative AI with production deployment
• Experience creating customer-facing dashboards with Tableau; SAP HANA knowledge and medical device market familiarity is a plus
• High ownership, self-organization and strong project management
• Ability to bridge technical and business requirements and simplify complex topics for non-technical audiences
• Commitment to continuous learning and development in Data & AI; strategic thinking and consulting mindset are advantageous

Responsibilities

• End-to-End Data Management: manage data process from sourcing to analysis and deliver ready-to-use results
• Data Engineering & Data Products: design, develop and operate scalable pipelines and data models on Azure and Databricks
• Advanced Analytics: process and analyze data using statistical and AI/ML methods for global decision-making
• Bridge Between Business & Technology: translate requirements into technical solutions and communicate constraints
• Independent Delivery & Customer Adoption: scope tasks, deliver with minimal supervision and track adoption (e.g. Tableau)
• Global Collaboration: work with IT, Global Sales, Marketing and subsidiaries to meet internal/external needs

Skills

Python

SQL

Azure

Databricks

Spark

Delta Lake

Data Engineering

Data Modeling

Data Quality

Data Architecture

NLP

Generative AI

Tableau

SAP HANA

Project Management

Communication

Continuous Learning

Education

Data Science / Computer Science / Statistics / Mathematics / Engineering / Economics degree

Tools

Microsoft Azure

Databricks

Spark

Delta Lake

Job description

• End-to-End Data Management: Independently manage the entire data process, from identifying and sourcing relevant data across internal and external systems to data engineering and analysis, and deliver ready-to-use results to internal and external customers.
• Data Engineering & Data Products: Support and guide engineers in designing, developing and operating scalable data pipelines, data models and data products on Microsoft Azure and Databricks, while ensuring high data quality and comprehensive documentation.
• Advanced Analytics: Independently process, prepare and analyze structured, semi-structured and unstructured data, such as text, documents and files, and apply statistical and AI/ML methods to generate relevant insights for tactical and strategic decision-making on a global scale.
• Bridge Between Business & Technology: Translate business requirements into technical solutions such as code, architectures and data pipelines, and communicate technical concepts, constraints and results to non-technical stakeholders in a clear and actionable way.
• Independent Delivery & Customer Adoption: Scope and prioritize your tasks independently, deliver results with minimal supervision and track the usage and adoption of developed solutions, for example through agents or Tableau.
• Global Collaboration: Work closely with IT, Global Sales, Marketing and our international subsidiaries to ensure that data products and analyses meet the needs of internal and external customers.

Your Mission

• End-to-End Data Management: Independently manage the entire data process, from identifying and sourcing relevant data across internal and external systems to data engineering and analysis, and deliver ready-to-use results to internal and external customers.
• Data Engineering & Data Products: Support and guide engineers in designing, developing and operating scalable data pipelines, data models and data products on Microsoft Azure and Databricks, while ensuring high data quality and comprehensive documentation.
• Advanced Analytics: Independently process, prepare and analyze structured, semi-structured and unstructured data, such as text, documents and files, and apply statistical and AI/ML methods to generate relevant insights for tactical and strategic decision-making on a global scale.
• Bridge Between Business & Technology: Translate business requirements into technical solutions such as code, architectures and data pipelines, and communicate technical concepts, constraints and results to non-technical stakeholders in a clear and actionable way.
• Independent Delivery & Customer Adoption: Scope and prioritize your tasks independently, deliver results with minimal supervision and track the usage and adoption of developed solutions, for example through agents or Tableau.
• Global Collaboration: Work closely with IT, Global Sales, Marketing and our international subsidiaries to ensure that data products and analyses meet the needs of internal and external customers.

Your Talents

• Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or a comparable field, ideally with an advanced degree
• Extensive experience as a Data Scientist, Data Engineer or Data Analyst, including independently delivering end-to-end data projects and data products
• Extensive knowledge of Python and SQL, Microsoft Azure and Databricks, particularly Spark and Delta Lake
• Extensive knowledge of end-to-end data engineering, particularly data sourcing, ETL/ELT, data modeling, data quality and data architecture
• Comprehensive experience in processing and analyzing structured, semi-structured and unstructured data, as well as working with scalable, high-performance computing environments
• Applied knowledge of AI/ML, ideally complemented by experience with NLP, generative AI and deploying AI/ML models into production
• Experience in creating customer-facing dashboards with Tableau, Knowledge of SAP HANA and the medical device market is an advantage
• High level of ownership and self-organization, combined with strong project management skills
• Ability to bridge technical and business requirements and communicate complex topics clearly to non-technical audiences
• Resilience and a strong commitment to continuous learning and development in Data & AI
• Strategic thinking and a consulting mindset are an advantage

Your Benefits

• Flexible working hours & mobile working: In many areas, working hours and location can be arranged as required
• 30 vacation days and various special payments
• Further training opportunities: Open in-house seminar program, extensive e-learning offering, professional development courses and much more
• Corporate benefits and bicycle leasing
• Subsidy for private pension plan and company health management
• Various childcare options – at the headquarters in Tuttlingen
• Health, sports, cultural and leisure activities – offers vary depending on location