Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
Lead discussions, present findings, and make recommendations to colleagues and management.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
Design, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Lead the research, design, and implementation of end-to-end machine learning solutions.
Own the evaluation and prompt engineering strategy for Large Language Models (LLMs).
Act as a strategic partner to Product and Engineering leaders.
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp was founded in 2011 and based in Bellevue, WA, and serves local markets nationwide.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Define and evolve AI and data science technical strategy.
Architect and build production AI systems including LLM applications.
Partner with product management to translate business requirements.
Wiser Solutions offers a suite of in-store and eCommerce intelligence and execution tools. They aim to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online.
Lead our AI & Data department with autonomy as a proactive tech enthusiast.
Develop, train, validate, optimize, and maintain Machine Learning models.
Extract, clean, validate large datasets, and interpret data for business opportunities.
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best - building products and supporting customers.
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 and corporate headquarters in Dublin, Ireland.
Translate complex business problems into structured analysis.
Build low-latency data pipelines and streaming analytics solutions.
Create interactive live dashboards using leading BI platforms.
Trustonic provides affordable smartphones by offering secure smartphone locking technology. With partnerships across 30+ countries, they enable device financing solutions, driving economic inclusion, profitability, and growth. They value diversity and flexibility, encouraging employees to work where they're most productive.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Design, develop and maintain advanced analytical models to support operational contact forecasting, headcount planning, license forecasting and budget planning.
Develop forecasting models using statistical techniques such as time series, regression, machine learning.
Develop linear programming and heuristics based optimization models to recommend optimal headcount plans and schedules in a constrained environment.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with a focus on providing a simple and transparent pay structure.
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.
Own the lifecycle of forecasting models across various departments.
Write complex, highly optimized SQL queries to extract, transform, and aggregate data.
Design, build, and maintain executive-level dashboards in Looker to surface forecasts and trends.
InStride Health’s mission is to deliver specialty anxiety and OCD care. They are expanding access to insurance-based care, increasing engagement in treatment, and improving treatment outcomes by combining research-backed clinical care and innovative technology.
Oversee the design, development, and implementation of scalable scoring models to drive business impact.
Guide and mentor junior data scientists, fostering a culture of innovation and continuous improvement.
Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
Bondora's mission is to empower people to enjoy life more while alleviating financial stress. Founded in 2008, Bondora has served over 1 million customers and is rapidly growing as they pursue a banking license and expand their investment and loan products across Europe.
Compiling, verifying, analyzing, and reporting large and diverse datasets.
Application of statistical models for quantitative analysis to support route and site selection studies.
Developing comprehensive workflows and metadata to automate compilation of data from multiple sources and serve data to maps, reports and other tools.
Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.
Design and implement AI solutions on the ServiceNow platform
Stay current with emerging AI capabilities and evaluate their applicability to our platform and use cases
Developing solutions specific to user requirements gathered in workshops
ServiceNow is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Lead and manage the machine learning team to build state-of-the-art AI models, focusing on user experience personalization, recommendations and operation automation.
Design and implement ML solutions to personalize customer and agent experience across the insurance lifecycle (quote, bind, service, claim, etc.).
Implements AI solutions to optimize processes and reduce operational costs.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They are one team that encourages growth and believes in diverse perspectives where everyone is included.
Develop and maintain capacity models for compute, storage, and network infrastructure across global environments.
Build and productionize advanced time‑series forecasts (e.g., ARIMA/ETS, Prophet, XGBoost/LightGBM) to predict demand, saturation points, and runway.
Conduct scenario modeling (“what‑if”) on deployment plans, workload changes, demand spikes, and hardware refresh strategies.
Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 32 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries.
Partner with Internal AI & Data Engineering teams to plan, build and test AI solutions.
Drive improvements to business processes by addressing performance bottlenecks and growth opportunities through analytics, AI, and automation.
Collaborate with T&E and Data Engineering teams to perform data analysis and build dashboards/visualizations to support business and compliance requests.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. They believe that the unique contributions of all Atlassians create their success, incorporating everyone's perspectives and experience.
Develop strategies to optimize branch efficiency and performance.
Implement A/B testing plans to evaluate the financial and operational impact.
Work closely with operational leaders to devise risk policies.
Attain Finance brings over 50 years of expertise in providing credit solutions across the U.S. and Canada. They thrive on innovation and collaboration, where contributions are truly valued and include distinguished brands like Cash Money®, LendDirect®, Heights Finance, amongst others.