Data Scientist

Year    Chennai, Tamil Nadu, India

Job Description


We are IMMO. Here to revolutionize the real estate industry, for consumers and investors alike. Residential real estate is the biggest asset class in the world and the market in Europe is worth an estimated $50 trillion. It\'s a huge untapped market, but it\'s also completely fragmented! Homeowners wrestle with huge fees and uncertain processes when they want to sell. Renters struggle to find high-quality homes and often deal with unsympathetic landlords. Financial institutions can\'t invest large pools of money into the sector without hiring an army of disparate third parties. And to complicate matters further, building new homes churns out gigatons of carbon, all whilst we face a housing crisis and a global climate emergency. IMMO is Europe\'s first technology-powered residential real estate platform, designed to create portfolios of existing single-family rental (SFR) and multifamily housing (MFH). Our proprietary technology allows us to unlock investment access to 98% of the residential market currently being overlooked, at scale and speed. At the same time, we offer better solutions to consumers - empowering homeowners with quick and transparent sales, and providing a next-gen renting experience for our residents to enjoy living in beautiful homes. With technology in our DNA, data is at the heart of decision-making, and we do things sustainably by up-cycling existing properties that are responsibly retrofitted. Among our investors are some of the world\'s top venture capital firms.

IMMO has been awarded \xe2\x80\x9cTech Pioneer\xe2\x80\x9d by the World Economic Forum and has been titled \xe2\x80\x9cReal estate asset manager of the future\xe2\x80\x9d by Goldman Sachs. We are 170+ strong with experienced professionals working across our integrated residential \'value chain\': sourcing and acquisitions, refurbishment, lettings, property management, and portfolio management. Our team includes successful entrepreneurs and industry leaders from WeWork, Goldman Sachs, Roundhill, Morgan Stanley, Barclay, Google, and many others - and we are growing, fast. With a strong track record in some of the toughest European residential markets, we\'re now eyeing expansion across the continent, building up our presence in Germany, Spain, and the UK. We\'re straightforward, open-minded, creative, and not afraid to challenge the status quo. And we\'re looking for talented IMMOrtals to join us in our mission to truly change the way consumers and investors access residential real estate \

You Will

  • Foster a scientific approach to business problems, form hypotheses, and test them with data. Create prediction models and find creative ways to validate and improve their performance.
  • Join one of our product teams working on market intelligence, investments, or property acquisitions. Create data products we can use in our operational day-to-day. Propose appropriate solutions, create prototypes, and demonstrate business value. Work with our data platform team to bring your solution into production.
  • Work with data from a variety of internal and external datasets. Find the right one for your use case. Explore it quickly and carefully, and understand its usefulness and challenges. Work with data engineers to integrate and curate new datasets with value for our business and data teams.
What we need from you
  • You have a strong track record of applying quantitative analysis to see beyond the numbers, generate actionable insights and drive the adoption of your proposed changes by influencing stakeholders.
  • You have proven experience with methods beyond summary statistics like hypothesis testing, Bayesian statistics, econometrics, or machine learning.
  • With your strong Python or R skills, you can create prototypes and effectively explore big and small data in all shapes. Software development or MLOps experience is a plus.
  • You can use SQL to access and transform data. Basic experience with a BI tool like Looker or Tableau is a plus.
  • Ideally, first experience working with geospatial, text, or image data for real-estate use cases.
  • You\'re a self-starter who is comfortable working autonomously and with teams located across our offices. You\'re not afraid to get your hands dirty, prioritize your focus based on impact, and are able to own a project from start to finish
Tools you will use
  • AWS Sagemaker
  • Snowflake
  • Serverless Framework
  • Apache Kafka
  • PostgreSQL
  • Python
  • Terraform
  • GitHub
  • Clickup
\

IMMO Investment Technologies

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Job Detail

  • Job Id
    JD3128115
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Chennai, Tamil Nadu, India
  • Education
    Not mentioned
  • Experience
    Year