Senior Data Scientist, Models and Algorithms

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 100,000 businesses nationwide.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy. 

About the Role

The Data Science team leverages Gusto’s data to deliver data-informed insights for our customers and guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. Here are a few areas where we contribute today:

• Recommendation Center - We want our customers to get the most out of Gusto by making sure they are aware of and connected to all the tools they need when they need them. One of the central efforts here is building machine learning solutions, including recommendation engines, that help surface the right information about our products to the customer at the right time.

• Customer Help - We work with core product, customer service and support teams to understand ways to make the product more intuitive, help customers find the answers they need quickly, and support our customer team members so they can find the right answers to their questions when they are needed. Applicants with experience in Natural Language Processing are especially favored for this role.
• Trust & Safety, Credit, and Fraud - our mission is to keep Gusto and our customers safe from bad actors, and we do that by building and deploying machine learning models to detect suspicious activity. We partner with Engineering, Risk Operations, and Product teams and strive to stay one step ahead in the game.

Here’s what you’ll do day-to-day:

• Build and deploy models and data products to support growth, prevent fraud, control risk and delight our customers.
• Enhance and contribute to the team’s core analysis and modeling systems and libraries
• Identify new opportunities to leverage data to improve Gusto’s products and help our business
• Present and communicate results to stakeholders across the company

Here’s what we're looking for:

• At least 5 years experience conducting statistical analyses on large datasets, ideally in a business context (can supplement with academic experience where appropriate)
• Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - generalized linear modeling, regularization, ensemble models (e.g., random forest, gradient boosting), Bayesian analysis methods
• Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment
• Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
• PhD or Masters plus equivalent experience in a quantitative field
• Experience applying predictive modeling to fraud, trust & safety or growth problems is a plus.

Our cash compensation amount for this role is targeted at 127,000-$174,000 in Denver & most remote locations, and $154,000-$212,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.