Osnovno

Data Scientist

Switzerland Tvrtka: TN Switzerland Klijent / Poslodavac: WLDM
Objavljeno: 18.05.2026
Datum zatvaranja: 02.07.2026
Preporuka za posao: 00267d2e9638d467b14976c732454458

Informacije o poslu

Lokacija
Switzerland
Tvrtka
TN Switzerland
Klijent / Poslodavac
WLDM
Preporuka za posao
00267d2e9638d467b14976c732454458
Vrsta popisa
Osnovno
Potrebna je radna dozvola EU-a
Ne
Objavljeno
18.05.2026
Datum zatvaranja
02.07.2026

Opis posla

We are seeking a Data Scientist with strong analytical and problem-solving expertise who can transform complex datasets into clear, actionable insights that drive business growth and performance. You’ll work closely with our Strategic Leads to uncover performance patterns, validate hypotheses, and find the levers that drive real impact. This role reports directly to the Head of Growth and will play an integral role in advancing data-driven decision-making across WLDM’s clients.


What You’ll Do:

  • Develop data models to forecast performance outcomes and ROI
  • Automate analysis of key metrics, trends, and content performance
  • Identify patterns, correlations and opportunities within large, messy datasets
  • Build and maintain dashboards that enable real-time insights and data driven decision making
  • Run statistical tests to validate hypotheses and measure experimental outcomes
  • Deliver clear, actionable insights from data sources that bridge data science with strategic execution


What We’re Looking For

Required:

  • 2+ years of experience working with business, behavioral, or performance datasets
  • Advanced proficiency in Python, SQL, and data visualization tools (Looker, Power BI, or similar)
  • Experience with APIs, web scraping, and NLP or text-based data analysis
  • Strong ability to to distill complex technical findings into clear, strategic insights

Preferred:

  • Familiarity with clustering, graph-based modeling, or knowledge extraction from text data
  • Experience applying Machine Learning or statistical methods to optimize business performance 


What We Offer

  • Fully remote, async-first team — work from anywhere
  • High autonomy and ownership — no micromanagement, just results
  • Work alongside private equity firms and 8-figure global brands
  • Defined growth paths into senior data strategy, analytics, or innovation roles


Working Hours

  • Fully remote position
  • Flexible schedule, async-first collaboration
  • Salary starting from $2500 USD per month

Vještine

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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