LastPass is looking for a Data Scientist:

We rely on insightful data to improve our products and customer value. We’re seeking an experienced data scientist to deliver insights on a daily basis.

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and sometimes cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

In this role, you will collaborate with product management, user experience design and other teams. You will develop an understanding of our teams’ needs and deliver meaningful insights that help us make our products better.

What are some of the exciting challenges you will be working on?

• Perform exploratory data analysis on datasets
• Participate in executing analytical experiments that lead to product and revenue optimizations
• Identify relevant data sources and sets to mine, and collect large structured and unstructured datasets and variables
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Devise and utilize algorithms and models to mine data stores; perform data and error analysis to improve models; where required, clean and validate data for uniformity and accuracy
• Implement analytical models in production by collaborating with software developers and machine-learning engineers

What does it take to work at LastPass?

• Proficiency with data mining, mathematics, and statistical analysis
• Experience with SQL, programming languages (ex: Python), business intelligence tools such as PowerBI, Excel
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

It's great, but not required:

• Advanced experience in pattern recognition and predictive modeling

Our compensation reflects the cost of labor across several US geographic markets. The typical base pay range for this role across the U.S. is USD $100,000 in the lowest geographic market and up to $130,000 per year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.