Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Own fraud detection models end-to-end, from data acquisition to production and monitoring.
Research new fraud vectors and develop products for identity verification and financial risk.
Write production code and present analyses to drive product, risk, and sales decisions.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We are a rapidly growing fintech startup backed by world-class investors, with offices across the US and India.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Lead ads fraud detection strategy by defining taxonomies, labels, metrics, and evaluation frameworks.
Analyze large datasets to uncover fraud patterns and translate findings into scalable detection and enforcement pipelines.
Build and maintain statistical, ML, and GenAI models to improve fraud detection, risk identification, and enforcement quality.
Reddit is a community of communities, built on shared interests and authentic conversations. With 100,000+ active communities and approximately 130 million daily active users, it is one of the internet's largest sources of information, fostering an open and inclusive culture.
Collect and clean data from various sources, perform exploratory data analysis.
Develop and implement machine learning models in collaboration with senior data scientists.
Communicate findings through reports, dashboards, and visualizations to stakeholders.
Fulton Bank is a financial services company offering banking solutions. It promotes a culture of continuous learning, work-life integration, and inclusion, with a digitally enabled work environment.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
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. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Build and own data infrastructure, including pipelines, warehousing, and ETL/ELT, ensuring a solid foundation.
Analyze product usage and user behavior, identifying patterns and segmenting users to surface actionable insights.
Build and ship models using LLM-based systems, traditional ML, and evaluation frameworks, connecting data to product decisions.
G-P is a leading SaaS-based Global Employment Platform that enables clients to expand into over 180 countries quickly and efficiently. The company has a diverse, remote-first team that fosters innovation and values every contribution.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
Leverage AI-powered analytics tools to accelerate insight generation and automate repeatable analysis.
Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data.
Vanta helps businesses earn and prove trust by enabling continuous security monitoring and compliance. With thousands of customers, Vanta has a kind and talented team focused on building the leading Trust Management Platform.
Dive deep into customer data to understand behavior across millions of users.
Transform questions from various teams into actionable insights and design studies.
Automate frameworks, write documentation, and communicate findings clearly.
Nex combines technology and play to deliver interactive experiences powered by natural body motion, encouraging families to move more together. The company has sold over a million devices, has hundreds of thousands of active subscribers, and fosters a product-driven culture that values talent and individual growth.
Develop and implement data analysis techniques and ML models using customer data.
Create scalable data pipelines for feature extraction on cloud services.
Collaborate with engineering teams to productionize work and automate processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company values innovation, authenticity, and integrity.
Lead the development of analytical, statistical, and machine learning solutions for client use cases.
Translate business questions into structured analytical approaches, modeling strategies, and measurable outputs.
Apply AI methods including LLM workflows to support classification, pattern detection, and decision support.
Valtech is an experience innovation company that partners with leading brands to unlock new value in the digital world. With a global, borderless framework and a culture that fosters creativity, diversity, and autonomy, we empower our people to thrive and grow.
Develop and optimize fraud prevention strategies using advanced analytics and machine learning.
Monitor fraud trends and client portfolios to identify emerging threats and recommend mitigation measures.
Serve as a fraud risk expert, providing analytical findings and recommendations to stakeholders.
The partner company specializes in fraud prevention and risk analytics for financial institutions, operating in a fast-paced payments environment. They are a remote-first organization with a focus on collaboration and work-life balance.
Lead statistical and machine learning solutions for high-impact business decisions.
Own complex problems end-to-end, from framing to production deployment.
Partner with product, engineering, and business leaders to shape strategy.
Super.com is a fast-paced, high-growth tech company that helps maximize lives for both customers and employees. They prioritize learning, impact, and career progression for their team.
Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.