Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
Design, build, and maintain scalable analytical solutions and reusable data science frameworks.
Cook Research Inc. is a global, family-owned company committed to improving patients’ lives since 1963. They value every voice, bring together inclusive teams who collaborate well, and encourage learning and innovation.
Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.
Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to manage technical sustainability and risks.
Affirm is a financial technology company that reinvents credit to offer consumers honest and flexible buy-now-pay-later options without hidden fees. As a remote-first company, Affirm fosters a collaborative culture where people come first, offering competitive benefits and anchoring its operations in the United States.
Own the full ML lifecycle, taking projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
Translate business needs into ML solutions, gathering product requirements and translating them into robust ML system design requirements.
Build recommendation and ranking systems, architecting and launching ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
Affinity's Relationship Intelligence platform empowers dealmakers to find, manage, and close more deals. It has more than 3,000 customers worldwide and is backed by Silicon Valley firms, with $120M raised, also receiving Inc. and Fortune Best Workplaces awards.
Drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.
Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement.
Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency.
Reddit is a community of communities built on shared interests, passion, and trust, and is home to conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Drive insight generation for complex projects and in collaboration with cross-functional teams.
Develop models of cost and quality in support of our navigation and match services.
Identify opportunities to better engage and navigate members to drive top quartile outcomes at bottom quartile costs.
Included Health delivers integrated virtual care and navigation. We break down barriers to provide high-quality care for every person in every community, offering guidance, advocacy, and access to personalized virtual and in-person care.
Drive product and business impact by developing data scientists, setting expectations, providing mentorship, and removing blockers.
Guide and advise multiple data science projects so that they stay on track and have timely delivery with maximum impact.
Collaborate cross-functionally to validate direction through data and build trust in organizational tactics and strategy by consulting on experiments.
DuckDuckGo is an online protection company with a mission to raise the standard of trust online. It is a remote-first team of 300+ with a culture of trust, inclusivity, and empowered project management.
Spearhead the development and maintenance of robust ML Ops processes to streamline model deployment, monitoring, and management.
Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding.
Lead the creation of a Model Workbench platform that enables marketers to easily interact with and utilize machine learning models.
Zeta Global is an AI-Powered Marketing Cloud that leverages AI and consumer signals to help marketers acquire, grow, and retain customers. They unify identity, intelligence, and omnichannel activation into a single platform and have offices around the world.