Niural is AI for payroll and HR. Built with modern money movement rails and enterprise-grade scalability, Niural is named after neural networks, the founding blocks of artificial intelligence, and is a global leader in leveraging AI to streamline payroll and HR operations for companies of all sizes. Niural has everything companies need to take care of their teams - from payroll to contractor management, from invoice payments to expense management or time tracking, from EOR to visas, all in one unified system of record. We believe that there are no borders when it comes to hiring, and we are enabling a future where there are equal opportunities for economic growth for people from all over the world. For our clients, this means being able to access the very best talent, no matter where they are. As you get familiar with the platform, you will feel it - there is no other product like it. We pride ourselves on fostering an inclusive culture that encourages innovation, values diverse perspectives, and promotes a sense of belonging. Our founders are repeat entrepreneurs with several successful exits under their belt and were the builders of the original AI SuperAgents - way before ChatGPT existed. Niural is backed by iconic fintech investors such as Inspired Capital, M13, Hustle Fund, GS Ventures, and more.

Want to make a dent in the universe? Apply now.

As a Senior Data Scientist, you will be at the forefront of developing and deploying machine learning models that enhance our payroll and HR solutions. You’ll analyze and interpret large datasets to identify trends, patterns, and insights to make informed business decisions. You'll work closely with cross-functional teams to drive data-driven decisions, optimize our operations, and contribute to the continuous improvement of our platform.

Requirements:

• Master’s in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, with a proven track record of deploying successful machine learning models in a production environment.
• Strong expertise in Python, R, or similar programming languages and machine learning libraries
• Experience with big data technologies (e.g., Hadoop, Spark) and database systems (e.g., SQL, NoSQL).
• Familiarity with cloud computing services (AWS, GCP, Azure) and their machine learning tools.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, collaborative environment and manage multiple projects simultaneously.

Job Responsibilities:

• Develop and implement advanced machine learning models to solve complex problems in payroll, HR, and financial operations.
• Analyze large datasets to uncover insights, trends, and opportunities for optimization.
• Collaborate with product and engineering teams to integrate AI/ML technologies into Niural's platform, enhancing functionality and user experience.
• Lead data science projects from conception to deployment, ensuring they meet business requirements and deliver measurable value.
• Stay abreast of industry trends and advancements in AI/ML, applying new techniques and methodologies to maintain Niural's leadership position.

• Competitive Pay
• Health & Provident Funds
• A fun work environment
• Employee Retreats & Training
• Equity in the company
• Leadership development classes & mentorship
• Professional Development Plan & a clear path to Promotions
• Access to developer conferences
• We’ve also partnered with select universities in the US to provide “fast track” admissions to star performers who may want to pursue their Masters in CS in the US
• High performers will be sponsored for L1 visas as well as immigrant visas (Green Card) to the US

Candidates should send a resume or GitHub profile to be considered.

There are 4 steps to the process:

• Initial Screen - 30 mins
• Technical Interview - 60 minutes
• Practical Programming Interview or take-home exam- 2 hours
• Behavioral Interview - 60 mins

You will then receive the offer decision.

Engineering Managers, Tech Leads, Feature Leads, and Project Leads are welcome to apply but the role will need someone who can do hands-on programming regularly to write integration tests.