Data Science Associate
hace 6 meses
We are looking for a Data Science Associate, to join our team in Madrid. You will be responsible for
thinking analytically, decomposing problem sets and developing hypotheses and recommendations, from robust data analysis.
**What we offer**:
- Interact with senior stakeholders on regular basis, to drive their business towards impactful change.
- Become the go-to person for end-to-end data handling, management and analytics processes.
- Work with Data Engineers 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, Logistics, CLM/CRM Analytics and/or Risk Analytics.
- Conduct analyses in typical analytical tools, such as SQL, R, Python and MatLab.
- Support solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data analysis and analytical models, under supervision of consultants and Managers.
- Start communicating analyses via compelling presentations.
- Prepare and participate in both workshops and presentations.
**What you’ll bring**:
- An advanced degree in quantitative field (e.g. Engineering, Mathematics, etc.).
- Soft skills aligned with consultancy business (Professional consultancy experience is a plus)
- At least 4-5 years of relevant experience in the Data Science field.
- Strong technical skills regarding data analysis, mathematics and statistics; basic programming skills are also necessary.
- Experience with end-to-end deployment and automation of Data Science use cases.
- An ability to think analytically, decompose problem sets and develop hypotheses and recommendations, from robust data analysis.
- Knowledge of SQL, Python, R, and/or Matlab is highly desirable.
- Knowledge of R-Shiny, Python-Dash, PowerBI and/or Tableau is a plus.
- Good knowledge of the Spanish & English language (comprehension and written form).
- Good communication skills with all stakeholders, both internal or with the client.
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