Data Scientist at Taskrabbit

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

 
About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward. 
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics. 
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.
 
Responsibilities:

Embed into a user group to support the data needs of the team, and enable stakeholders to make data driven solutions through Data Analysis and Statistical Modeling
Partner with the Data Engineering team to help support and build robust data pipelines, deploy ML Models and automate Scripts 
Measure the impact of feature deployments through Statistical and Causal Inference
Develop ML Models to solve complex two-sided Marketplace problems

 
Qualifications:

Advanced degree in Computer Science, Statistics or related field
Minimum 2 years work experience as a Data Scientist or related position
Knowledge and experience with the following:

Data Analysis and Statistical Modeling
SQL (Advanced knowledge)
Python (Pandas, numpy, scipy, scikit-learn)
Dashboarding and Visualization
Measuring Feature Impact (Design of Experiment, A/B Testing, Causal Inference) 
Cloud Computing (AWS or GCP)
Building Data Pipelines (Experience with DBT and Airflow a bonus)
Machine Learning
Able to communicate effectively with Stakeholders


 
About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work. 
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.
 
You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse 
The Values. 

Care Deeply. We take time to be present and partner with our team and communities. 
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.



The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.

 
Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. 
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.