Data Scientist

We are looking for a select group of doers and disrupters who see promise where others see obstacles. At interos.ai, we don’t settle for the status quo. We are an open and inclusive team of change makers who live to break down barriers and create opportunities for each other and everyone we are privileged to serve. Our Vision Changing the way the world’s companies see, learn, and profit from their relationships. What drives us We take our jobs and our responsibilities seriously, but never ourselves. From Lisbon to London to Los Angeles, our teams work from everywhere. And we have fun along the way. Creativity, collaboration, and camaraderie are essential to our character and fuel our success. Positively Relentless Battle Tested Open positions Position: Data Scientist Location: Remote Job Id: 328 # of Openings: 1 Role : Data Scientist About interos.ai interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier — enabling faster, data‑driven threat mitigation and resilience at global scale. As the first and only automated supplier intelligence platform, interos.ai gives organizations real‑time visibility into extended supply chains to protect against regulatory exposure, unethical labor, cyber threats, and systemic vulnerabilities — all under a single pane of glass. With customers across the commercial, government, and public sectors — including Global Fortune 500 enterprises and members of the Five Eyes nations — interos.ai offers a unique opportunity to help shape an early, fast‑growing market that’s transforming global security and economic resilience. About the role: We’re seeking a highly motivated Data Scientist (Social Science) to join our Applied AI team as a Computational Social Scientist, contributing to supply‑chain‑relevant research, rapid‑turn analyses, and foundational modeling that powers the interos.ai platform. This role is ideal for someone early in their career, such as a recent graduate or emerging researcher who is passionate about data, modeling, and global systems. You will support end‑to‑end research workflows, evaluate data quality and conceptual validity, and apply a range of analytic and modeling techniques to ensure our insights are theoretically sound and customer‑ready. As a Computational Social Scientist, you will bring domain understanding from fields such as economics, political science, international relations, or related social‑science disciplines. This background is essential for interpreting complex supply‑chain data and understanding the global dynamics behind it. You will work alongside data scientists, computational social scientists, and AI/ML engineers to strengthen the intelligence that drives our platform, while gaining hands‑on experience in a fast‑paced AI startup environment tackling global‑scale challenges. What you will do Conduct rapid‑turn analyses using SQL and Python, ensuring results are robust, theoretically grounded, and aligned to domain‑specific supply chain context. Apply critical thinking to assess research design, data quality, conceptual validity, and methodological fit for purpose. Leverage a range of analytic techniques, including statistical modeling, machine learning, and emerging GenAI tools. Ensure accuracy and reliability of customer‑facing intelligence before data reaches production environments. Build automated and manual data review processes to enhance data integrity and streamline recurring validation workflows. Transform technical insights into accessible deliverables such as presentations, white papers, blogs, and internal briefs. Develop reproducible workflows that support decision‑making across internal teams and research initiatives. Collaborate cross‑functionally with Applied AI, Product, Engineering, and Supply Chain domain experts to deliver high‑quality, data‑driven insights. What you bring Bachelor’s degree in a relevant social science field (economics, political science, international relations, public policy, sociology, etc.) with quantitative coursework, OR equivalent experience. Strong proficiency in SQL and Python — comfortable extracting, cleaning, analyzing, and visualizing data. Demonstrated ability to write efficient SQL queries and manipulate large, multi‑disciplinary datasets. Familiarity with statistical analysis, machine learning concepts, or applied modeling in a real‑world or academic context. Exceptional attention to detail with strong written and verbal communication skills. Intellectual curiosity and genuine passion for working in data‑driven organizations. Ability to work collaboratively in a highly cross‑functional environment and independently with minimal supervision. Background, coursework, or demonstrated interest in supply chains, economics, political science, international relations, national security, sustainability, finance, or climate‑related disciplines. A self‑starter mentality and the ability to thrive in a fast‑paced AI startup environment. What We Offer 401(k) with employer match Flexible Time Off (FTO) + 10 paid holidays Career growth opportunities in a rapidly scaling AI organization Employee referral bonuses and recognition programs A flexible, remote‑first work environment that empowers you to do your best work A culture rooted in trust, accountability, and collaboration Compensation Base Salary Range: $72,000–$100,000 USD (based on experience and location) Variable Compensation: Performance‑based annual bonus Equity: Stock options included as part of total rewards We believe in rewarding great work with competitive, transparent compensation. Final offers reflect skills, experience, and geographic location. Work Environment, Location & Travel This is a remote‑first role open to candidates legally authorized to work in the United States. Minimal travel may be required. Equal Opportunity Employer interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status. Accessibility & Accommodations If you require accommodations at any stage of the hiring process, please contact us at Notice: Be Cautious of Employment Scams Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of interos.ai. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that interos.ai will never ask for any personal account information, such as cell phone, credit card details or bank account numbers, during the recruitment process. Additionally, interos.ai will never send you a check for any equipment prior to employment. All communication from our recruiters and hiring managers will come from official company email addresses (@interos.ai) or from Paycor (sometimes coming through as “Newton,” a subsidiary). We will never ask for any payment, fees, or purchases to be made by the job seeker, and our interviews are conducted via phone calls and on‑camera video meetings (not text‑based messaging). If you are contacted by anyone claiming to represent interos.ai and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at We take these matters very seriously and will work to ensure that any fraudulent activity is reported and dealt with appropriately. If you feel like you have been scammed in the US, please report it to the Federal Trade Commission at: . Ensure there are no other domains before or after @interos.ai. For example: “name.dr.interos.com” Check any documents for poor spelling and grammar – this is often a sign that fraudsters are at work. If they provide a generic email address such as @gmail, @Yahoo, @Hotmail etc. as a point of contact, do not reply. All communication with Inters will come from an @interos.ai domain. If the interview and all interactions are conducted via messages / text‑only communication as opposed to phone calls and on‑camera video chats. If you are asked for money, an “administration fee”, “security fee”, or an “accreditation fee” do not proceed. If you are asked for cell phone account information, do not proceed. Use interos.ai’s industry‑first i‑Score™ to track multiple supply chain risks in a single platform #J-18808-Ljbffr