Data Scientist/ Data Science Engineer (Paris or Berlin)

Description

PriceHubble is a PropTech company, set to radically improve the understanding and transparency of real estate markets based on data-driven insights. We aggregate and analyse a wide variety of data, run big data analytics and use state-of-the-art machine learning to generate stable and reliable valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Paris, Berlin and Tokyo. We work on international markets. We are backed by world-class investors. We have a startup environment, low bureaucracy and international team and business.

Your role:

You will join the property team, which is responsible for processing, enriching, deduplicating, and improving real-estate data gathered from websites all over the world. You will put in place methods to extract insights from unstructured data (text and images), validate them, put them to use in our production systems, and set the processes to monitor their quality.

Your profile:

You are a software-engineer currently transitioning your career towards data-science. You are looking for a position that will enable to (1) leverage your software engineering skills, while (2) enabling you to dabble more and more with machine-learning.

OR

You are a data-scientist looking for a concrete challenge. You are looking for a position to learn (1) how to build production grade machine-learning applications, (2) how to solve real life machine-learning problems for which no labelled benchmark data-sets exist yet, and (3) how to deliver real ML based impact in an organization.

Responsibilities

Your daily work will span all the cycle of a data-scientist and data-engineer, including the acquisition of labels, training and validation of models, deployment of the model in production, automated testing of their performance over-time.

  • Build machine-learning based pipelines enriching production data
  • Groom tools to acquire and refine the labels required to evaluate the models (potentially leveraging crowd-sourcing)
  • Train and evaluate the models
  • Set in place monitoring for the model’s performance
  • Automate ML processes

Requirements

  • BSc or MSc in Computer Science or equivalent
  • At least 2 years of experience in a similar position
  • Knowledge of Python
  • Proficiency in at least one object-oriented programming language and at least one scripting language
  • Familiarity with software engineering best practices (clean code, code review, test-driven development, ...) and version control systems
  • Comfortable working in English; you have a great read, good spoken command of it.

For Software-Engineers migrating towards data-science:

  • In-depth understanding of basic data structures and algorithms
  • Basic understanding of Machine-learning principles
  • Experience with SQL and Relational data-bases
  • Clear commitment to orient career towards data-science and machine-learning

For Data-Scientists exploring real-life machine-learning:

  • Proven track record of solving machine learning problems
  • Basic understanding of data structures and algorithms
  • Clear commitment to orient career towards production grade machine-learning. you are unafraid to program and keen to apply engineering best practices to your daily work

Nice-to-Haves:

  • Experience with the ETL and data processing tools we’re using is a strong advantage:
    • Pandas
    • Luigi and PySpark
    • PostgreSQL and PostGIS
    • Scikit-learn and Tensorflow
  • Working experience with cloud providers (Google cloud, AWS or Azure) also an advantage
  • Advanced knowledge of relational databases
  • Experience with Docker and Kubernetes orchestration is a strong advantage
  • Understanding of core machine learning concepts is an advantage
  • Worked previously in ‘agile’ team(s) and are looking forward to doing it again,

Benefits

🕓Flexible work hours

👖Casual dress code

🍏Free snacks, fruits, coffee, beers, sodas

🍺Thursday drinks

✈️Relocation package

📘L&D program

🏢Well-located offices

💰Competitive salary