Junior Data Scientist
Nuremberg, Germany
AVIV Group
The AVIV Group is part of Axel Springer, one of the world's leading digital publishers that employs more than 16,000 people in over 40 countries worldwide.Company Description
We are an equal opportunities employer and place where everyone is welcome. We strongly encourage people from minority backgrounds, LGBTQIA+, parents, and individuals with disabilities to apply. If you need reasonable adjustments at any point in the application or interview process, please let us know.
In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
We’re one of the world’s largest privately owned real estate tech companies and a subsidiary of Axel Springer. Our mission is to unlock everyone’s perfect place! Some of Europe’s best known digital real estate marketplaces and brands form part of our Group, they are: 🇫🇷 Meilleurs Agents, 🇫🇷 Groupe SeLoger, 🇧🇪 Immoweb, 🇩🇪 Immowelt, 🇪🇸 Housell and 🇮🇱 Yad2.
We also invest in innovative business models which shape the future of how people buy, sell, rent or lend properties and hold minority participations in companies such as: 🇬🇧 PurpleBricks, 🇩🇪 Homeday, 🇺🇸 Zumper and 🇺🇸 Parcel.
Our ambition is to be the leading Employer in PropTech across Europe and this is a pivotal time to join us as we embark on this journey enabling us to help unlock everyone’s perfect place!
WHAT WE DO AT BUYING SELLING RENTAL DYNAMICS
The Data Science team has the mission to revolutionise how people experience the real estate market. To achieve this goal, data-driven solutions and tailor-made algorithms are key. As part of the cross-functional "Buying Selling Rental Dynamics" team we work directly with our partners in Product and Tech to provide scores and predictions in various contexts.
Job Description
WE ARE LOOKING FOR AN INDIVIDUAL WHO CAN :
- Effectively partner with product and engineering teams to design and build data science solutions to drive revenue growth, support interactions between our users (seekers, owners and intermediaries) and help developing a marketing mix model to support strategic decision making.
- Apply sophisticated statistical techniques to model user behaviour, identify causal impacts, build and benchmark metrics, and forecast future performance.
- Develop predictive, explanatory models and machine learning algorithms.
- Deploy trained model artifacts to AWS to serve ML models in production.
- Create automated learning systems that gracefully scale to increasing complexity and expectation.
- Analyse large-scale structured and unstructured data.
- Create ETL pipelines to get the required data in a format ready for downstream tasks.
- Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
Qualifications
AN INDIVIDUAL WHO HAS :
- MS in computer science, statistics, mathematics or similar.
- Two or more years of relevant work experience in the industry building and product ionising ML models and data science workflows.
- Experience with one or more of the following in an applied business setting: advanced statistical techniques for experimental design, observational causal inference and time series forecasting.
- Strong proficiency with Python and SQL and large-scale distributed systems.
- Excellent communication skills, with the ability to synthesise, simplify and explain complex topics to different types of audience, including executives.
- You thrive in a fast-paced, dynamic and high energy environment and are comfortable with ambiguity.
- Strong creative thinking and problem-solving skills.
Additional Information
WHAT WE OFFER YOU:
- We are one of the leading PropTech platforms in Europe. If you’ve ever rented or purchased a property then you may have used one of our classified portals. This is a great time to join us to help elevate our AVIV brand.
- 30 Days of Holidays guaranteed and the freedom to organise your day the way it fits you best.
- Openness for Sabbaticals.
- Unlimited self-development opportunities.
- The opportunity to work hybrid within our operating footprint with international travel to our locations in France, Belgium and Germany.
- The autonomy to work in a style which suits you to be the most productive
- The freedom to tell us which tools you need to be successful in your job so we can set you up to make it happen.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Causal inference Computer Science Distributed Systems Engineering ETL Machine Learning Mathematics ML models Pipelines Python SQL Statistics Unstructured data
Perks/benefits: Career development Startup environment
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