Appfire builds next-generation enterprise collaboration solutions to liberate teams from silos and make work flow. By extending and enhancing what’s possible on platforms like Atlassian, Microsoft, Monday.com, Salesforce and more, Appfire enables companies to increase value from the many platforms they’ve invested in. Appfire empowers today’s knowledge workers to plan and deliver their best work. Appfire’s portfolio of top-selling apps serves more than 20,000 customers – including 55% of the Fortune 500. As a product-led company, Appfire identifies gaps in industries serving knowledge workers and then builds solutions that drive productivity and efficiency.

Appfire continues to grow exponentially, with teams spanning 20+ countries. We are financially strong, profitable since inception, continuously meeting or exceeding revenue targets, and we invest heavily in strengthening the foundation of our organization. Being philanthropic is integral to operating our business, so we donate 1% of employee time, product, profit, and equity as part of our Pledge 1% commitment.

Come join our team!

Job Purpose and Overview

Appfire is seeking a full-time Director of Data Science!

In this role you will be responsible for launching Appfire’s first-ever Data Science function. You will design our company-wide Data Science strategy, organization and pathway to value, implementing the technologies, models, processes and foundations that showcases what our data means for our customer, product, partner and company success.

Data Science at Appfire will incorporate predictive forecasting, new product features and implementing new ways of working for our business. You will be responsible for laying the foundations for all three - working with leadership and stakeholders across Appfire to build a strategic roadmap of value along with the pathways to achieve it.

Reporting to the VP of Data Insights, you will leverage our Snowflake ecosystem to build enterprise-grade data science infrastructure, models and processes that scales with Appfire’s incremental needs and the ROI that our Data Science achieves.

What You Will Do

• Assess the landscape of Appfire’s Data Science needs and capabilities, building outcomes that showcase the value of today while preparing us for the use cases of tomorrow.
• Interface with leaders and stakeholders at all levels of Appfire, building confidence in our data and model outputs that sells a vision of what Data Science will become at Appfire through both high level and outcome-focused discussions.
• Be Appfire’s subject matter expert and most Senior Data Scientist, bringing knowledge across statistical methods, infrastructure, model development and model productionalization.
• Architect, build, and launch efficient & reliable Data Science models, operationalizing them in partnership with our Data Engineering organization.

What We Would Like To See

• 10+ years of relevant industry experience or a combination of industry and PhD.
• Background building new Data Science organizations and programs from the ground up.
• Expertise in SQL and Python/R
• Excited to dive into a fast growing company where your work impacts the business and financial decisions of the company everyday
• Proven ability to succeed in both collaborative and independent work environments at a remote-work company
• Passion for high data quality and impactful analytics engineering work
• Comfortable working in a fast-growing startup environment within a critical growth area for the company
• Strong technical and mathematics background
• Experience working with Lifetime Value analysis/optimization
• Experience in generative AI
• Additional Preferred Qualifications:
  • Experience with DBT
  • Experience building/deploying enterprise knowledge graphs/ontologies

What We Offer

• Every Appfire employee is eligible for company equity
• 10 paid holidays + Flexible PTO – no set number of days that you must take in a year
• 100% company-paid health insurance
• 50/50 split dental and vision insurance
• Flexible Spending Accounts
• Mobile phone and Internet stipend 
• 401(k) Matching Component

#LI-remote

Req ID: 482