Data Scientist (AI)

TL;DR

Data Scientist (AI): Developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection with an accent on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. Focus on translating complex human capital management challenges into data science projects and delivering machine learning software features in an agile product development environment.

Location: This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements.

Salary: $95,800 - $178,000/yr

Company

hirify.global is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce.

What you will do

• Select features, build, and optimize models using machine learning techniques.
• Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark.
• Collaborate with Product Managers, Enterprise Architects, Software Development Managers, and other leaders to translate complex human capital management challenges into data science projects.
• Create automated data and modeling pipelines and develop custom performance tracking.
• Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features.
• Conduct ad-hoc analyses and present results in a clear manner.

Requirements

• 3 years of demonstrated data science success or similar experience with a Bachelor's degree, or an Advanced degree (Masters or PhD) preferred in data science, computer science, engineering, statistics, mathematics or another quantitative field.
• Experience in writing production grade machine learning models in Python.
• Experience with cloud infrastructure on AWS or Azure.
• Demonstrated ability to leverage data science to drive business results.
• Skilled at translating business problems into data science problems and communicating the results to non-technical audiences.
• Able to work in a collaborative environment with a desire to share your ideas and work independently.

Nice to have

• Professional or academic experience in HR, social science or psychology.
• Significant experience with cloud development and infrastructure-as-code tools.
• Be invested in staying current in data science by applying new technologies and practices.

Culture & Benefits

• Medical, dental, vision, life, disability, and a 401(k) match.
• Perks that support you, your family, and your finances.
• Career development opportunities.
• Employee resource groups (ERGs).