Causal Data Scientist
il y a 1 semaine
If these questions strike a chord, then you might be the Causal Data Scientist that we are looking for to strengthen our team.
This centralized team of six people focuses on:
Conducting in-depth data analysis to provide strategic insights and deliver actionable recommendations to address key business challenges.
The main focus is always on explaining WHY things are happening and WHAT business should do differently to address the problem.
Setting standards and building frameworks to fundamentally improve how data analysis is done at Telenet.As a team we always tackle these strategic and fundamental questions on a project basis with a small subteam.
Your tasks as a Causal Data Scientist:
- You take charge of new data problem and sit together with stakeholders to clearly identify the problem and translate it into clear
analysis questions and hypothesis to test: - Based on the question, you select the
appropriate analytics technique and dive into the data to find the answers - You work with our team members to fit all the learnings together, find the
bigger story and patterns and initiate the next steps - You recognize when the team is getting into causality related questions after which you work together to
create solid counterfactuals or test for causality so our conclusions and recommendations are correct - You synthesize complex insights into easy to understand and
actionable recommendations that resonate with stakeholders - You
challenge the status quo and find new or better ways to answering questions - You
coach, inspire and share best practices to individuals and teams so we all keep growing and learning
- We invest in your development and offer numerous possibilities to grow:
- You get all the room you need to develop your expertise. We stimulate personal growth through extensive learning opportunities and internal mobility.
- We offer a job that matters, for our customers and for our business.
- You get competitive remuneration, including many fringe benefits (meal vouchers, mobile, company car, insurances, discounts on Telenet services, )
- You work minimum two days at the office, the rest from home. You get the company of colleagues that are just as passionate as you.*
- A Master's degree that trained you in
Statistics and Econometrics (such Econometrics, Business Engineering, Economics, Statistics, Quantitative Social Sciences or equivalent) - A minimum of
3 years of professional or academic experience as a data analyst, data scientist, econometrician or equivalent role. - Solid understanding of what makes good
counterfactuals ,
causal inference. The passion to learn more on this topic and teach others. - Solid understanding of statistical analysis and data mining techniques (classification, clustering, regression,)
- A
handson mentality to really dive into the data and find the answers. - Strong data skills with knowledge of at least one coding language (Python, R). The willingness to learn Python, Pyspark and SQL if not yet proficient.
Critical thinking and a problem-solving and result-driven mindset. A drive to manage an
analytics initiative end to end , including effective storytelling and stakeholder management.
- Fluent in
English . Knowledge of Dutch/French is a bonus.
-
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