At a Glance
- Tasks: Explore complex datasets and create insights that drive impactful decisions.
- Company: Join the SAFE Insights team within a dynamic tech environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on evidence-driven decision-making.
- Why this job: Shape product thinking and influence decisions with your data expertise.
- Qualifications: Experience in data science, programming languages like Python or R, and SQL skills.
The predicted salary is between 50000 - 70000 € per year.
Requirements
- You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
- You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
- You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
- You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
- You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
- You have experience collaborating with engineers, product managers, and cross-functional partners.
- You are curious, adaptable, and excited to grow your craft over time.
What the job involves
- The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering).
- We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making.
- As a Data Scientist on the team, you’ll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions.
- Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
- Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
- Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
- Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
- Apply statistical and causal inference methods to evaluate product changes for internal and external users.
- Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
- Grow into a strategic analytical partner by taking on increasingly complex data challenges.
Data Scientist (Platform Mission) employer: Deepstreamtech
As a Data Scientist at SAFE Insights, you will thrive in a dynamic and collaborative environment that values curiosity and adaptability. Our commitment to employee growth is reflected in our supportive culture, where you will have the opportunity to work alongside talented professionals, tackle complex data challenges, and contribute to evidence-driven decision-making. Located in a vibrant area, we offer a range of benefits that enhance work-life balance and foster a sense of community among our team members.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Platform Mission)
✨Tip Number 1
Get your networking game on! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview or a case study session. This is your moment to shine and demonstrate your data science prowess with Python, R, or SQL.
✨Tip Number 3
Prepare to tell your story! Be ready to discuss how you've tackled complex datasets and what insights you've drawn from them. Use examples that highlight your experience with dashboards and visualisations to make your narrative compelling.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a quick thank-you note to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Data Scientist (Platform Mission)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data science programming languages like Python or R. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Insights:When writing your application, focus on how you've framed questions and explored complex datasets in the past. We love seeing examples of how your insights have driven clarity and action, so include specific instances where you’ve made an impact.
Visualisation Matters:Since we value clear communication of insights, mention any experience you have with data visualisation tools like Tableau or Looker. Share how you’ve used these tools to create compelling narratives that influenced decision-making.
Collaborative Spirit:Highlight your experience working with cross-functional teams, including engineers and product managers. We’re looking for someone who thrives in a collaborative environment, so share examples of how you’ve partnered with others to achieve common goals.
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of statistical techniques and data science programming languages like Python or R. Be ready to discuss how you've used these skills in past projects, especially when it comes to experimentation and causal inference.
✨Show Off Your Visualisation Skills
Since the role involves communicating insights through dashboards and visualisations, be prepared to talk about your experience with tools like Tableau or Looker. Bring examples of your work that showcase how you've turned complex data into clear narratives.
✨Collaboration is Key
This job requires working closely with engineers and product managers, so highlight any past experiences where you've collaborated across teams. Share specific examples of how your insights have influenced decision-making in a cross-functional setting.
✨Be Curious and Adaptable
Demonstrate your curiosity and willingness to grow by discussing how you've tackled complex data challenges in the past. Show that you're excited about learning new techniques and adapting to the evolving needs of the team.
