At a Glance
- Tasks: Join us to analyse youth engagement and develop impactful data-driven solutions.
- Company: SuperAwesome, a leading tech company focused on the youth digital ecosystem.
- Benefits: Inclusive culture, competitive salary, and opportunities for personal growth.
- Other info: Collaborative environment with a focus on creativity and innovation.
- Why this job: Make a difference in creating a safer internet for the next generation.
- Qualifications: Experience with Python, SQL, and a passion for data science.
The predicted salary is between 36000 - 60000 € per year.
SuperAwesome is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are. We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation. Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month.
As we specialise in reaching under-18 audiences, we have to be as curious, fast-paced, and creative as kids and teens. At SuperAwesome, you’ll be encouraged to own your impact, make your team more awesome, and evolve like a kid as you grow into your role. At our core is the #SAFam, a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong.
SuperAwesome helps brands connect with youth audiences with compliant, privacy preserving and age-appropriate digital campaigns. We are looking for a Data Scientist to come and help us deliver original solutions to new problems by understanding the content youth audiences are engaging with and the brands that are reaching out to them. We combine this with knowledge from our behavioural insights team to predict and plan campaigns with impact. Through ensuring best practice, privacy and moderated safe content we help fund and power a better internet for the next generation.
If you like collaborating on difficult problems with noisy, non-linear data and you tick some of the boxes below, we would love to hear from you about what you are great at and what you are passionate about.
In this role, you will:
- Work with the product team, end users and engineers to identify and understand the problems we need to solve
- Work with other experts to identify feasible solutions to those problems that meet business needs
- Develop production ready models in areas such as:
- Optimising programmatic auction bids
- Understanding the content where adverts are being served
- Moderating content to ensure it is safe for kids and teens
- Categorising content so we analyse it quantitatively and infer our audiences
- Predicting what categories will improve advertising performance or brand lift
- Identifying audience clusters from survey and performance data
- Test and validate the models and monitor and maintain them once live
Who you are:
Required:
- Experienced with Python
- SQL - and query optimisation
- Data manipulation eg Pandas, Numpy
- Quantitative degree or equivalent experience
- Standard ML algorithms eg Scikit-learn
- Statistics
- Curiosity
Nice to haves:
- Strong pure mathematics
- Bayesian modeling
- Causal inference
- Post graduate degree
- Interests in behaviour, psychology or advertising
- Experience in adtech, martech, marketing or advertising
- Experience with survey data or brand lift studies
- Experience building models for internal or business facing products
- Able to communicate what you are doing to a wide audience
- Full ML model lifecycle experience
- Programmatic use of LLMs
- LLM fine tuning
- Working with big data tools eg pySpark or similar
- Github or similar version control
- Jira or similar workflow management
- Using Cloud platform ideally AWS
- Clean modular code with tests
- APIs eg FastAPI
- MLOps experience
Data Scientist employer: SuperAwesome
SuperAwesome is an exceptional employer that champions creativity and curiosity, making it an ideal workplace for a Data Scientist passionate about shaping the future of digital engagement for youth. With a strong emphasis on diversity and inclusion, employees are encouraged to express their individuality while collaborating on innovative solutions in a fast-paced environment. The company offers ample opportunities for professional growth and development, ensuring that every team member can evolve alongside the dynamic landscape of technology and advertising.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at SuperAwesome. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to youth engagement or advertising. This will help you stand out and demonstrate your passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the latest trends in adtech and youth digital ecosystems. Be ready to discuss how your experience aligns with SuperAwesome’s mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the #SAFam!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and working with youth audiences shine through. We want to see what excites you about the role and how you can contribute to making a safer internet for the next generation.
Tailor Your CV:Make sure your CV is tailored to highlight your experience with Python, SQL, and any relevant projects you've worked on. We love seeing how your skills align with our needs, so don’t hold back on showcasing your best work!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the Data Scientist role at SuperAwesome.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join the #SAFam!
How to prepare for a job interview at SuperAwesome
✨Know Your Data Inside Out
As a Data Scientist, you’ll need to demonstrate your understanding of data manipulation and analysis. Brush up on Python and SQL, and be ready to discuss how you've used libraries like Pandas and Numpy in past projects. Prepare examples that showcase your ability to handle noisy, non-linear data.
✨Showcase Your Curiosity
SuperAwesome values curiosity, so come prepared with questions about their products and the challenges they face. Think about how you can contribute to solving these problems. This not only shows your interest but also your proactive approach to problem-solving.
✨Communicate Clearly
You’ll need to explain complex concepts to a diverse audience. Practice breaking down your past projects into simple terms. Use analogies or relatable examples to make your points clear. This will demonstrate your ability to communicate effectively within a team.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams. SuperAwesome thrives on collaboration, so share specific instances where you’ve worked with product teams or engineers to solve problems. Show them you’re a team player who can bring different perspectives together.
