Senior Data Scientist

Amplitude•San Francisco, CA

14h

About The Position

We’re looking for a Data Scientist to join the Experiment team within Amplitude. You will be part of a passionate group of product managers, engineers and designers who are working to help modern businesses transform their products through data and experimentation. As a Data Scientist, you have a unique opportunity to deeply influence the product with your knowledge and views on advanced statistical methodologies and customers who are looking to learn from an expert on experimentation best practice. Join Amplitude and play a crucial role in shaping the future of experimentation and digital analytics. If you’re driven by innovation, strategic impact, and customer success, we’d love to hear from you! Our ambitious machine learning for experimentation agenda includes but is not limited to: Causal effects modeling or heterogeneous treatment effects analysis Analyzing experiments that have social network effects (ex: difference in differences, Switchback, Synthetic Control) Time Series modeling Bayesian hypothesis testing Understanding how teams run experiments B2B Experimentation Innovating and implementing machine learning and data mining algorithms on distributed platforms to solve real-world product analytics and user behavior modeling problems.

Requirements

A masters or Ph.D. degree in computer science, mathematics or related areas with extensive research/project experience in data science, experimentation, digital product optimization, math, statistics, etc.
Have built and extensively used data pipelines in a variety of data warehouse environments.
Proficiency with Python and SQL
In-depth experience with Spark/Hadoop
Has 2+ years of experience working as a Data Scientist in the past and is familiar with the Experimentation space, including hands-on experience using experimentation products
Are interested and comfortable communicating with customers as a trusted advisor

Responsibilities

Innovating and implementing machine learning and data mining algorithms on distributed platforms to solve real-world product analytics and user behavior modeling problems.

Benefits

Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
Flexible time off, paid holidays, and more
Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
Employee Stock Purchase Program (ESPP)
charitable giving grant and paid volunteer time off
unlimited PTO
10 to 13 holidays annually (will vary)
medical dental and vision PPO and CDHP plans
company sponsored 401(k) retirement plan