Data Scientist at
San Francisco, CA, US accelerates enterprise growth through the power of AI. With the industry’s only Revenue Intelligence System, frees all customer-facing teams, including sales, marketing, and customer success, from manual data entry by automatically capturing all contact and customer activity data, dynamically updating CRM and other systems of record, and providing actionable intelligence across management tools to realize the full selling capacity of the enterprise. Some of the world’s best brands are leveraging to transform their business, including Lyft, New Relic, Okta, Tanium, and Zoom.

At, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness and critical thinking to activities that matter most in their professional life, the more effective a professional they become. We're developing a deep understanding of the professional world, mapping people, companies, and the information that flows between them through natural language processing and machine learning. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving enterprise growth. We embrace different. We applaud non-traditional career paths. We're inspired by people who have made processes their own. 

As a Data Scientist on the Success Services team, you will be responsible for the technical design, implementation, and delivery of our customers’ data for use cases that are not served directly through the product. You will be responsible for managing existing data services, as well as driving all net-new data deliverables owned by Success Services.  In addition to the engineering work, you will consult directly with customers, enabling them to build use cases with data on top of their own infrastructure. This role reports to the Director of Business Value & Insights.


Serve as the most technically advanced member of the Success Services team as it pertains to data ingestion and manipulation skills and coordinate internally with appropriate technical teams to provide a seamless experience to our customers

Work across Product, Technical Success, and Services to simplify and scale the entire portfolio of Services offerings

Lead logical architecture design in collaboration with Product and Technical Success to enable scalable data models that support value delivery to customers

Assist customers with API configuration and ingesting data into their analytics infrastructure

Enable customers on activity data to support their own use cases

Build custom dashboards leveraging our Executive Analytics Platform (embedded BI in web app) along with Product

Create customer-facing documentation for our top dashboards

Optimize refresh schedules for data pipelines and dashboards, both internally and externally

Own the delivery and development of the Historical Contacts Service in coordination with Technical Success

Conduct a backend data design audit of top 5 use cases to ensure scalability moving forward


Extensive (5+ years) of coding (e.g. Python, Java, Scala) and data modeling experience

Strong (3+ years) experience with enterprise data analytics architecture, developing data pipelines, and using various ETL libraries/tools

Strong (2+ years) experience building reports in BI tools (e.g. Tableau, Looker, Power BI, Sisense) on top of data warehouses (e.g. Redshift, Snowflake, BigQuery)

Expert at extracting and manipulating data from multiple sources, including relational databases and REST APIs

Working knowledge of cloud-based big data technologies (e.g. Spark, Hive, Hadoop)

Comfortable consulting with customers to enable them to leverage data within their infrastructure

Must be very organized and know how to accurately and thoroughly document all solutions produced

Values teamwork and good at building partnership cross-functionally

Open to feedback and ideas from others

Creative and innovative

Analytical, data-driven and high-level problem solver

Founded in 2016 and based in San Francisco, the company is backed by ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Y Combinator and others. In 2019, was recognized as a winner of the 2019 Bay Area Best Places To Work, an awards program presented by the San Francisco Business Times and the Silicon Valley Business Journal.