Data Scientist I

About Urban Company

Urban Company is a technology platform offering customers a variety of services at home. Customers use our platform to book services such as beauty treatments, haircuts, massage therapy, cleaning, plumbing, carpentry, appliance repair, painting, and more—all delivered in the comfort of their home and at a time of their choosing. We promise our customers a high-quality, standardized, and reliable service experience. To fulfill this promise, we work closely with our hand-picked service partners, enabling them with technology, training, products, tools, financing, insurance, and brand support to help them succeed.

Urban Company started out as UrbanClap in November 2014, when its founders realized that the home services industry was largely unorganized, fragmented, and offline. Customers found it difficult to access quality services in a convenient manner, and service professionals struggled due to reliance on multiple middlemen. The founders launched Urban Company to disrupt the industry with a focus on three key principles:

• Customer Love: Build a platform that offers truly delightful and differentiated services.
• Partner Empowerment: Build a deep, full-stack partnership with service partners to improve their earnings and livelihoods.
• Technology First: Bring innovation and technology to an age-old industry.

What You’ll Do:

As a Data Scientist at Urban Company, you will hold a critical role in elevating our data-driven capabilities and influencing the direction of our product development and business strategies. Your responsibilities will encompass:

• Develop custom data models and algorithms to apply to data sets.
• Developing and implementing advanced machine learning models to address complex problems, such as inventory planning, matchmaking and recoveries.
• Collaborate closely with cross-functional teams, including product managers, engineers, business teams, and marketing, to implement models and monitor outcomes
• Taking the lead in quantifying the business impact of potential projects and identifying significant opportunities for growth.
• Presenting your findings, insights, and data-driven recommendations to senior management, influencing strategic decision-making at the highest level.

Requirements:

BS/MS in Statistics, Math, Computer Science, or related field.

We're looking for someone with 1-3 years of experience with following expertise:

• Knowledge and experience in ML techniques - GLM/Regression, Random Forest, Boosting, Trees; Bonus - Neural Networks, Deep Learning.
• Experience with languages - Python, PySpark; Bonus - Tensorflow, Pytorch
• Good SQL skills and the ability to use tools such as Python, R, Excel, or Tableau to work efficiently at scale with large data sets
• Good knowledge of statistics and design of experiments and analysis
• Experience with Cloud computing tools - Sagemaker
• Experience with Model Deployment Frameworks - Flask, Gunicorn
• Self-driven with the ability to work in a self-guided manner
• Superb communication and organization skills.

What can you expect:

• A great work environment with massive ownership and growth opportunities.
• Work closely with the founding and the leadership team on key projects.
• Execute highly scalable applications & implement best.
• Latest tools and technology to get things done provided by the company
• Health insurance benefits for our employees and their family
• Growth opportunities within UC via our robust internal mobility program
• Competitive rewards and benefits.