Senior Data Scientist

Purpose of job

Apply broad Data Science or Big Data Engineering expert knowledge to create a high degree of business insight across functions

Key activities

 A Senior Data Scientist ensures business value across functions:

- Ensures that algorithmic modelling and data pipeline design is mutually supportive

- Ensures that work is executed according to the maturity phase (Alpha vs. Beta vs. Production)

- Works effectively in multi-disciplinary teams - and influence others across teams

- Leads data science/big data engineering tasks

- Provides input for knowledge sharing and community across the organization

- Ensures individual training/coaching of Data Scientists and Associate Data Scientists

- Provides input for developing Data Science/Big Data Engineering expertise area
- Ensures technical deliveries

- Provides input for data and solution architecture

Critical knowledge and experience

Industry, market and business environment

- Experience managing defined processes within Data Science or Big Data Engineering

- Possess industry experience within a business environment; experience working in a large manufacturing environment is strongly preferred

- Most likely to have some years of relevant work experience before entering level besides formal education

Technical, functional and professional

- Solid Knowledge of the plans, processes and activities within the functional area of Data Science

- Strong ability influence others

- Possess a great understanding of the relevant systems, local laws and regulations where applicable, for the cross-functional areas

Education, training and certifications

Ph.D. or Master’s degree, preferably with additional work experience in the areas of e.g. mathematics, statistics, computer science, physics, or alike

Skills, Competences and behaviors


1.1 Deciding and Initiating Action

3.1 Relating and networking

4.2 Applying expertise and technology

5.2 Creating and innovating

6.2 Delivering results and meeting customer expectations -

6.3 Following instructions and procedures

7.1 Adapting and responding to change


  1. Mathematical Modeling & Statistics
  2. Machine Learning
  3. Contemporary platforms, techniques, and libraries
  4. Signal Processing
  5. Data Visualization
  6. Code & Programming, e.g.
  • Python
  • R, Julia, F#
  • .net / C#


Notice for candidates from Russia and Central Asia

If you are a candidate from any of the below mentioned countries wishing to explore employment opportunities with Grundfos, we would like to firstly thank you for your interest, and urge you to visit the job page of your country to apply for specific positions that interest you, rather than create a talent profile in
our system. This is suggested to ensure full compliance with the data privacy
requirements of your country.

Russia, Belarus, Kazakhstan, Uzbekistan, Turkmenistan, Tajikistan, Afghanistan, Kyrgyzstan

Talent profile

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Thank you for your interest in Grundfos.



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