Lead Designer - Banking Experience

Develop and implement international performance marketing strategies for brokerage and crypto industries.

Own and optimize key metrics like CAC, LTV, and payback by channel.

Lead end-to-end design for core banking experience

Manage multiple large-scale projects concurrently

Lead end-to-end design for core banking experience

Manage large-scale projects

Design and develop deep learning models for document verification

Own ML solutions end-to-end: data, training, deployment, monitoring

Lead pre-sales efforts for large enterprise accounts

Drive adoption of ML & AI solutions

Lead a team of Data Engineers and Analytics Engineers

Own and manage data infrastructure and data pipelines

Analyze customer datasets for insights

Explain model performance and risk policies

Lead cross-functional team towards onboarding goals

Drive conversion through feature identification

Model, structure, and develop new financial products

Improve existing products for homeowners and partners

Lead end-to-end design for core banking experiences

Manage multiple large-scale projects simultaneously

Work on cross-team projects

Lead parts of projects for quality results

Develop and implement data science and ML solutions

Maintain data pipelines with SQL and Snowflake

Lead end-to-end design for core banking experience

Manage multiple large-scale projects simultaneously

Partner with product and commercial teams to shape roadmap through insights.

Lead, mentor, and grow a team of product analysts.

Define metrics and requirements

Build and maintain dashboards

Detect and prevent fraud at scale

Own end-to-end ML systems

Lead and scale EV product features

Define long-term EV integrations strategy

Lead end-to-end design for core banking experience

Manage multiple large-scale projects simultaneously

Deliver key product capabilities for Catalog Insights

Design and build data pipelines processing large data volumes

Own the AI-powered product strategy and roadmap

Identify automation opportunities tied to user pain and outcomes

Lead strategy, design, and execution of RWE programs in oncology

Generate high-quality RWE to inform development decisions and label expansion

Develop cutting-edge GenAI solutions

Own production rollouts of GenAI applications

Deliver insights and analytics to uncover strategic opportunities.

Empower stakeholders with self-serve data tools.

Design realistic evaluation scenarios for AI agents

Create structured test cases and define gold-standard behavior

Seeking a talented Senior Developer for a remote job with decent compensation

Connecting Senior Developers with startups in the US and Europe

Lead a team of engineers in developing and maintaining products and systems.

Recruit, grow, and empower a team of engineers.

Delivering insights and analytics to uncover strategic opportunities

Driving faster user-centric decisions

Utilize data science techniques to optimize operational processes.

Collaborate with cross-functional teams for data-driven decisions.

Contribute to machine learning projects

Analyze data and develop models

Support statewide efforts to end veteran homelessness

Collect and synthesize data to identify trends

Develop an interpretable recommendation engine for product selection.

Replace legacy algorithm with robust statistical models.

Build and deploy advanced GenAI solutions

Advise customers on AI application strategies

Drive enterprise sales for Dataiku platform

Advise clients on data-driven strategies

Qualify sales opportunities collaboratively

Conduct customer discovery and requirements analysis

Lead customer big data projects

Design and deploy scalable data solutions

Develop innovative GenAI applications

Deploy and optimize production-grade ML solutions

Develop and deploy ML models for financial services

Automate and enhance customer service using ML and NLP

Develop and automate compliance dashboards and reports

Support regulatory reporting and audit readiness

Develop and deploy advanced GenAI applications

Advise customers on AI solutions and best practices

Lead and scale a global analytics team

Drive business impact through advanced analytics and AI

Automate demand forecasting and inventory optimization

Reduce stockouts and overstock through predictive modeling

Lead end-to-end product research

Deliver actionable user and product insights

Drive strategic platform product development

Enable scalable collaboration and sync solutions

Develop and deploy advanced GenAI solutions for customers

Lead production rollout of AI applications

Grow and lead the ML Practice team in India

Drive successful customer ML and GenAI engagements

Deliver customer-focused LLM and ML solutions

Productionize and optimize ML pipelines on cloud

Lead development of Security Data Fabric and Exposure Management platform

Unify and contextualize security signals using AI/data science

Predict and prevent cyberattacks

Automate threat detection and response

Advance AI for social good

Empower non-profits with technology

Deliver actionable insights to drive business decisions

Lead experimentation and improve analytics infrastructure