Data Science Associate
Adaptfy is growing! We are looking for a Data Science Associate with 3 - 6 years of experience for a full-time position to join our Data and Analytics team in Amsterdam.
Who we are.
Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data & Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire value chains.
Adaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity.
SHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition & aquaculture, testing, inspection & certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation.
At Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies
What we offer
Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
Become part of a fast-growing international and diverse team.
What you will do
Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations.
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis
Prepare and facilitating workshops
Manage stakeholders and communicating with executives
Coach and mentor team members
What you will bring
3-5 years of professional work experience in the analytics domain.
An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
Ability to talk the language of statistics, finance, and economics a plus.
Profound knowledge of the English language.
We are united by our differences
At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.
Recruitment Disclaimer
Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.
Skills
As published by recruitee · 8 questions
Basics
Full name, Email, CV, Cover letter, Phone
Short answers (3)
- What is/was your last/current annual gross compensation? (in your local currency)
- In order to accept a new job, what would be your gross annual salary expectation? (in your local currency)
- How did you hear about this role and Adaptfy?
Pick from a list (5)
- Years of relevant experience for the role you're applying to
- Do you need, or will you need in the future, visa sponsorship for working in the country where the role you've applied to is located?
- In terms of notice period, how much would you need to give your current employer, if you decided to leave the company?
- What is your current English level?
- Do you speak the local language? optional