T-923 Data Scientist

T-923 Data Scientist

14 Nov
|
UrbanClap
|
Gurgaon district

14 Nov

UrbanClap

Gurgaon district

Job Description

Why are we building UrbanClap?

Organised service commerce is a large yet young industry in India. While India is a very large market for home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today. The industry is barely ~20 years old, with a sub-optimal market architecture typical of an unorganised market fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today,

if the frictions in user and professionals journeys are removed and the experiences made more meaningful and joyful.

UrbanClap is a services platform, with the bold ambition to organize the key verticals within the service commerce industry, bringing in the benefits of scale - structured processes, systems, standardisation, transparency and trust. This platform will enable billions of dollars in commerce annually, and create jobs for 1 million service professionals. The key industries that we are going to organize over the next few years include home improvement, home maintenance & repairs, appliance repairs, salon spa & makeup services, fitness & health at home, academic tuitions, photography & events, packing & moving etc.


As a Data Scientist, you would play a critical role in developing and then implementing Advanced Analytics solutions on production

systems. The role would involve building cutting edge solutions for match making, capacity planning, demand prediction, fraud identification, solving for disintermediation and churn prediction etc.


Potential hires are expected to own the end to end process right from development to implementation data extraction, text analytics, feature engineering, model building, and model testing, clear model and implementation documentation/codes and work with Engineers to help operationalize the solution into live systems.


Key Data problems we are solving Matching the right professional for each customer request (match making)
Quantifying how many requests were lost based on drop in conversion due to unavailable slots. Use this data for onboarding providers at hyper local level (capacity planning)
Using various signals to find out fraud / disintermediation on the platform (Fraud detection)
Customer Segmentation. Computing state of customer after each interaction.Use customer segment for home screen personalization and campaigns (personalization)
Not taking those requests where we have predicted that no partner is going to respond. Stopping bad customer experience as a result (customer experience)
Identifying providers who are going to get churned and try to retain them (partner retention)


Job responsibilities Breaking up big business problem into small actionable Analytical/Data Science problems
Give thought leadership on problem definition and defining the key metrics to target
Identify the important input variables/data needed for model building
Design the Validation metric to evaluate machine learning models
Do the feature engineering and build the model.
Move the model into production as a micro service.
Ability to work on multiple projects in parallel
Prepare dashboards to track performance and responsiveness of the model in production


Job requirements Overall experience of 2-5 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing
Strong conceptual understanding on machine learning techniques - classical regression, logistic regression, neural networks, cluster analysis, cross validation, bagging, boosting and random forests etc
Strong expertise on SQL and working with relational systems
Prior experience of implementing machine learning models in production systems
Expertise on R/Python Mandatory
Strong focus on adding value to business and ability to take complete ownership
Advanced degree in mathematics, statistics, physics, engineering or similar technical field with relevant course work in probability, statistics and quantitative methods


What can you expect A phenomenal work environment with massive ownership and growth opportunities
Quick iterations and deployments fail fast attitude
Access to world class mentorship network
Massive and direct impact of the work you do on lives of people

The original job offer can be found in Kit Job:
https://www.kitjob.in/job/15245471/t-923-data-scientist-gurgaon-district/?utm_source=html

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