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Staff Data Scientist, Growth Data Products
Build and own data products that drive revenue growth for a global travel activities platform, using Python, Databricks, and machine learning to optimize marketing spend and customer lifetime value.
Senior Consultant, AI Engineer, AI&Data, UKI
Build and deploy LLM and ML models for forecasting, optimization, and automation across finance, energy, supply chain, and commercial domains using cloud AI platforms like Databricks and Azure ML.
Principal Data Scientist
Lead end-to-end data science projects to boost player engagement and monetization in social casino games using ML, reinforcement learning, and A/B testing.
Marketing Data Science Lead
Lead a team of data scientists to measure, model, and forecast marketing investments for mobile games using AI, causal inference, and mobile marketing measurement techniques.
Machine Learning Engineer (Fulfilment ETA)
Build deep-learning models to predict ETA for Grab’s food delivery and ride-hailing services, automate retraining pipelines, and monitor model health.
Lead Data Scientist
Lead a data-science team to build predictive models and analytics solutions using Python, scikit-learn, TensorFlow, and Airflow for a large tech organization in Kuala Lumpur.
Deep Learning Engineer - Credit
Build and deploy deep learning models for credit risk, transitioning legacy systems to modern architectures and applying reinforcement learning for dynamic pricing and limit decisions.
Senior Data Scientist, Marketing AI #AIDA
Build and deploy AI/ML models to predict customer behavior, optimize marketing campaigns, and personalize telco offerings using LLMs and predictive analytics.
Lead Product Designer, Growth (Upper Funnel)
Lead the design of growth experiences that convert users from discovery to activation and expansion, using data-driven experimentation and coaching a small design team.
Staff Data Scientist
Build and own the client intelligence layer for a wealth platform: measurement architecture, behavioral models, and causal inference to connect product decisions to real client outcomes using Python, SQL, and rigorous experimentation.
Deep Learning Engineer - Credit
Design and deploy deep learning models for credit risk, replacing tree-based systems with large-scale pre-trained architectures, reinforcement learning for pricing, and embedding-based feature extraction.
Senior Machine Learning & Data Scientist (Remote | $120-$170/hr)
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Lead Data Scientist - Pricing
Lead a dynamic pricing engine for ride-hailing, food delivery, and logistics using ML, econometrics, and causal inference to optimize fares and boost revenue.
Senior Data Scientist
Senior Data Scientist builds ML models and experiments to optimize mobile ad bidding, audience targeting, and attribution for an AdTech marketplace.
Sr. Data Scientist 4B
Build and deploy AI/ML models for global clients, leading projects from design to production using Python, SQL, and MLOps tools.
Principal Data Scientist - RPL
Principal Data Scientist builds and scales causal-inference models for promotion optimization, uplift modeling, and budget-constrained allocation in a large Southeast-Asian marketplace.
(USA) Principal, Data Scientist
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Lead Services Ops Analyst
Lead analyst driving online services growth by designing experiments, building analytics pipelines, and translating data into actionable insights for The Home Depot’s ecommerce team.
Manager, Real World Data
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Staff Data Scientist
Staff Data Scientist at Intuit builds predictive models and customer insights to shape QuickBooks’ strategy and improve small-business experiences using Python, SQL, and causal inference.