Senior Growth Data Scientist

Full time

Employment Information

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Who We Are

Verkada is the largest cloud-based B2B physical security platform company in the world. Only Verkada offers six product lines — video security cameras, access control, environmental sensors, alarms, workplace and intercoms — integrated with a single cloud-based software platform.

Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies.

Founded in 2016 with more than $460M in funding raised to date, Verkada has expanded rapidly with 15 offices across three continents, 1,600+ full-time employees and 20,000+ customers across 70+ countries.

Overview

Verkada’s Growth Ops team is looking for a talented leader to play an integral role in leveraging our data and technology to help our marketing team run better, faster, and smarter. You will have the opportunity to play a vital role in both creating and driving world-class insights that will drive the next phase of growth here at Verkada.

Successful Data Scientists at Verkada are fluent in SQL and Python, understand the principles of effective data visualization, and know how to contextualize their work within the business in order to drive growth.

Responsibilities

  • Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analyses.
  • Build revenue optimization models using a wealth of structured in-house data.
  • Work cross functionally with other business units to ensure Marketing planning aligns with corporate strategy.
  • Be responsible for defining and clearly articulating KPIs to serve the team and management

Requirements

  • Bachelor’s or master’s degree in a technical discipline from a top school.
  • 5+ years of expertise in quantitative analysis, ability to tell a story backed by data.
  • Advanced proficiency in SQL and relational databases.
  • Experience with data visualization tools (Looker, Tableau, Power BI, etc).
  • Demonstrated track record of success in a high-growth, self-directed business environment.
  • Analytical mindset, capable of understanding advanced abstract relationships and concrete systems/data.
  • Excellent written and oral communication skills.

Nice to Have

  • Direct relevant experience in a related field (Data Science, Growth Analytics, Quantitative Research, etc)
  • Experience creating executive level presentations.
  • Experience building and architecting data pipelines.
  • Familiarity with business systems: Salesforce, Marketo, Outreach, or similar.

Pay Disclosure

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. This estimate is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

Estimated Annual Pay Range

$120,000—$200,000 USD

Verkada Is An Equal Opportunity Employer

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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