Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Uncovering analytical insights that quantify product performance and shape product strategy with an accent on data-backed decisions that accelerate innovation and improve product performance. Focus on measuring the impact of product releases and shaping strategic decisions through exploratory analysis, A/B testing, and statistical modeling.

Location: Remote, not eligible to be hired in CA, CT, NJ, NY, PA, WA

Salary: $141,520.00 to $208,000.00 depending on location.

Company

hirify.global is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide.

What you will do

• Drive the definition and development of data science solutions from beginning to end.
• Generate insights and recommendations through exploratory analysis, A/B testing, and statistical modeling.
• Work with product managers to design and analyze experiments to measure the impact of new features.
• Collaborate with data producers and consumers to ensure consistent data quality and availability.

Requirements

• 2+ years of professional experience in an analytics or data science role.
• Advanced expertise using SQL and dashboarding tools like Looker or Tableau.
• Intermediate expertise in Python for data manipulation, analysis, and statistical modeling.
• Familiarity with causal inference techniques such as A/B testing.
• Demonstrated ability to map business problem statements to an appropriate data science technique.
• Answer-first, succinct communication skills.

Nice to have

• 4+ years of professional experience in a product-focused analytics or data science role in a B2B SaaS context.
• Bachelor’s and Master’s in a quantitative field.
• Familiarity with machine learning techniques.
• Experience with data warehousing and/or ETL processes, including distributed computing technologies such as Hive, Presto, or Spark.

Culture & Benefits

• Competitive pay and generous time off.
• Ample parental and wellness leave.
• Healthcare and a retirement savings program.