DevOps Engineer | SDE - 1 | SDE  - 2

Role: Lead Data Scientist

Function: Data Science

Location: Remote

Type: Full-time

Compensation: High-base salary with performance-based incentives

Industry: HR Technology, Global Employment

About Company

A global HR platform that simplifies international hiring and workforce management for companies building distributed teams. The company operates as an Employer of Record (EOR) across 140+ countries.

It streamlines payroll, benefits, taxes, and compliance through a centralized system. The platform serves startups and growing companies looking to scale global talent without setting up local entities.

Position Overview

You'll translate complex business problems into data-driven solutions that drive growth across a global HR platform serving 140+ countries. You'll build predictive models and conduct A/B testing to optimize hiring processes and operational efficiency. This role offers the opportunity to impact how companies worldwide build and manage their distributed teams while working with diverse, multi-country datasets.

Role & Responsibilities

• Translate complex business problems into data-driven solutions using statistical modeling and machine learning techniques
• Build and deploy predictive models to optimize hiring processes, employee retention, and operational efficiency
• Design and execute A/B tests to validate product features and business strategies across global markets
• Develop automated reporting dashboards and data visualization tools for stakeholder decision-making
• Analyze large-scale HR and payroll data to identify trends and opportunities for platform optimization
• Communicate complex analytical insights to non-technical stakeholders through clear presentations and reports
• Collaborate with cross-functional teams to implement data science solutions in production environments

Must Have Criteria

• 4-8 years of hands-on experience in data science with focus on business impact and model deployment
• Strong expertise in classical machine learning including tree-based models, regression, and clustering algorithms
• Advanced proficiency in Python for data science with libraries like pandas, scikit-learn, and numpy
• Expert-level SQL skills for complex data extraction and manipulation from large databases
• Proven experience in statistical modeling and hypothesis testing for business decision-making
• Proficiency in Python data visualization libraries including Matplotlib, Seaborn, and Plotly for interactive dashboards
• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or related quantitative field

Nice to Have

• Experience in HR tech, fintech, or global payroll/compliance domains
• Knowledge of distributed systems and working with multi-country data regulations
• Experience with cloud platforms and MLOps practices for model deployment
• Background in causal inference methods and advanced experimental design

What We Offer

• High-base salary with performance-based incentives tied to business impact
• Fully remote work environment with flexible hours across global time zones
• Opportunity to shape data strategy at a fast-growing global HR platform
• Access to diverse, multi-country datasets and complex analytical challenges
• Professional development budget and conference attendance opportunities