You will play a critical role driving the discovery, creation, and integration of AL/ML models into our performance-management platform.
You will combine statistical methods with engineering best practices to help meet our business needs.
You will be instrumental in modeling HR data and building rich structured context to power our knowledge base as well as AI agents engaging with our customers.
Design and deliver end-to-end data science solutions that support product innovation and business strategy.
Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions.
Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019. As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and invest in people and new advanced technologies to unlock the power of data.
Research and experiment with multifamily datasets to identify opportunities for new product features and pricing insights.
Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ's revenue management products.
Translate revenue management workflows into scalable tools and features — you should be able to sit in a pricing call and immediately understand what the revenue manager is trying to solve.
ApartmentIQ is a profitable, growth-stage company building martech and data products for the PropTech space. They operate on a no a**holes policy and have built a community of high performers, with a fully remote team of 100+ spread across the U.S.
Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data.
Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions.
Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Analyze large, complex datasets to uncover trends and opportunities.
Build and evaluate predictive models to drive decision-making.
Design and analyze experiments (A/B tests) to measure the impact of initiatives.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using cutting-edge scientific advancements to empower individuals to take control of their health. They are a fully virtual, remote-first employer that values their people.
Own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
Define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
Set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. They are backed by Creandum, Point Nine, 20VC, YC, and leading angels and working to solve making healthcare personalized, proactive, and affordable.
Lead A/B testing across desktop and mobile platforms to inform product launches and iterations.
Conduct deep-dive exploratory analyses to understand how customers subscribe, pay, engage, retain, and churn.
Use statistical methods and analytical modeling to evaluate product performance and understand customer behavior.
Age of Learning develops engaging and effective Pre-K through 5th grade learning resources. They have served over 50 million children worldwide and are a global leader in efforts to advance equity, access, and opportunity for all children.
Work closely with our Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Doximity is transforming the healthcare industry with a mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, Doximity is committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
Design, build, and maintain data products that support R&D, analytics, Lab, and scientific workflows.
Build and maintain data pipelines for large and complex datasets ensuring high data quality.
Partner with scientists and engineers to translate research needs into reusable data assets.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. They aim to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
Own and evolve Deel's people data quality framework.
Design and maintain people analytics dashboards in Looker and Hex.
Identify repetitive analytical workflows and build automated pipelines.
Deel is the all-in-one payroll and HR platform for global teams. They combine HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. Among the largest globally distributed companies in the world, their team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
Master the data lifecycle by gathering, cleaning, and preparing complex datasets.
Apply your deep expertise in Python and SQL to analyze intricate datasets and develop novel metrics.
Design and build compelling, interactive dashboards in Tableau, Power BI, and Qlik to empower stakeholders.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Lead and execute projects to distil complex problems into compelling insights.
Investigate and implement the most appropriate analytical technique for each project.
Deploy data science algorithms and market products on chosen tech stack.
dunnhumby is the global leader in Customer Data Science, partnering with ambitious retailers and brands to put the customer at the heart of every decision. They employ nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas.
Lead data-driven product strategy initiatives supporting fraud detection and prevention systems
Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale
Define, track, and evaluate key metrics, including machine learning model performance and business impact
Maleda Tech is focused on protecting platform integrity by embedding measurement, experimentation, and insights into product defenses and user journeys. They are a global technology environment with a fraud & safety analytics team.
Act as the primary liaison between Product Analytics and Data/BI teams, aligning on data needs and priorities.
Define data requirements and support event taxonomy design. Ensure data quality, consistency, and governance standards across datasets.
Define and oversee experimentation standards, ensuring statistical validity and consistency.
They are a cutting-edge e-commerce company developing products for their own technological platform. They hire top talent and let them do what they do best, striving to create a workplace that allows for an open, collaborative, and respectful culture.
Perform advanced data analysis to identify trends, cost drivers, and improvement opportunities.
Analyze structured and unstructured data to address complex clinical, financial, and operational questions.
Develop insights and recommendations that support enterprise performance and organizational priorities.
Agilon Health is dedicated to changing healthcare delivery, leveraging expertise to improve the lives of patients and physicians. They foster a culture where individuals can make a tangible difference in healthcare nationwide.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
Oversee work that affects complex systems and mission-critical areas.
Develop and implement new models into production.
Mentor other researchers, provide technical guidance, coaching, and feedback.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data and analytic pipelines
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.