Data Scientist
Marketing
Confirmed live in the last 24 hours
Asana

1,001-5,000 employees

Team collaboration & work management platform
Company Overview
Asana's mission is to help humanity thrive by enabling the world's teams to work together effortlessly. The company builds collaborative tools for enterprise teams.

Company Stage

Series E

Total Funding

$413.2M

Founded

2008

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

19%

2 year growth

46%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Data Science
Git
SQL
Scala
Marketing
Data Analysis
CategoriesNew
AI & Machine Learning
Data & Analytics
Growth & Marketing
Requirements
  • Bachelor's Degree in Computer Science, Math, Statistics, Economics, Marketing Science, Engineering, a related quantitative field or equivalent experience
  • 2+ years of experience in applying data science techniques to drive decision-making or develop technical applications
  • Fluency in at least one modern language useful for data processing (e.g. Python, Scala)
  • Proficiency with relational data modeling and SQL
  • Experience in writing production-quality code in Python/Scala and productionizing machine learning applications with tools such as Git, Sagemaker and Airflow
  • Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modelling
  • Familiarity with one or more of the machine learning methods such as classification, ranking and clustering
Responsibilities
  • Develop and apply marketing measurement capabilities such as Marketing Mix Modeling (MMM), Geo-based experimentation and Multi-touch Attribution (MTA) to evaluate the performance of our marketing effort
  • Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end through scoping, researching, prototyping and productising with tools such as Git, Sagemaker and Airflow
  • Collaborate with Marketing stakeholders, Marketing Analytics, and other cross-functional partners to identify impactful business questions, conduct deep-dive analysis, and communicate findings and actionable recommendations to audiences at all levels to drive data-driven decisions
  • Collaborate with other Data Scientists in the team to build and improve different marketing measurement capabilities
Desired Qualifications
  • Experience with Marketing Analytics
  • Experience with Marketing Mix Modeling (MMM), Geo-based experimentation and Multi-touch Attribution (MTA)