Job Title: Data Science Engineer
Company Name: PropReturns
Job Type: Technical
No Of Openings: 1
CTC: 2530 LPA
Location: Lower Parel Mumbai
Experience: 27 Years
About Company:
Were a YCombinator backed Proptech startup (S21) aiming to disrupt the real estate investment space in India. We have recently raised our round of $1.2M and are expanding rapidly. In just under 12 months of operations were profitable have over 15000 real estate investors and partnerships with top banks and wealth managers like Motilal Oswal ICICI wealth etc.
Job Description
We re looking for an experienced Data Science Engineer to join us in our vision to create the largest Real Estate transaction marketplace of the country. The ideal candidate for us is driven has an entrepreneurial mindset and has worked on Marketplaces previously.
ROLES AND RESPONSIBILITIES
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine analyze and clean data from company databases to drive optimization and improvement of product development marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to create product recommendations.
- Identify new data sources and create pipelines to extract and transform data sets.
- Use predictive modeling to increase and optimize customer experiences revenue generation ad targeting and other business outcomes.
EXPERIENCE
- Experience working on advanced data scraping techniques.
- Experience working on solving recommender problems in a marketplace.
- Strong problemsolving skills with an emphasis on extracting data insights.
- Working knowledge of advanced ML stacks like TensorFlow Apache PySpark Hadoop etc.
- Experience using statistical computer languages (R Python SQL etc.) to manipulate data and draw insights from large data sets.
- Knowledge of statistical techniques and concepts is preferred (regression properties of distributions statistical tests and proper usage etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
Special Remarks from Company:
- Should have expertise on Python PostgreSQL AirFlow Selenium Metabase TensorFlow Apache PySpark Hadoop Data Scrapping Techniques.
- INTERVIEW ROUNDS: 3
- TIMINGS: 9:30 AM to 7:30 PM
- MODE OF INTERVIEW: Online
hadoop,r,airflow,pyspark,metabase,tensorflow,apache,selenium,pipelines,sql,regression,python,postgresql,ad targeting,data gathering,data scraping,statistical tests,predictive modeling,revenue generation,new data sources,solving recommender problems,data scrapping techniques,custom data models,analyze and clean data,identify new data sources,learn and master new technologies and techniques