Data Scientist Salary at Indee Inc BETA

Data Scientist – Real-Time Bidding Salary: $150k – $220k • 0.2% – 0.3% Hybrid - San Mateo (2/3 days) About the Company: Morpheus are partnered with a Seed Funded startup who are building an advanced AI-driven platform that helps brands run performance-driven ad campaigns on streaming TV. Our technology connects creative content, smart targeting, and digital measurement to improve key performance indicators like website visits and purchases while enhancing other digital marketing channels. We are seeking a Data Scientist with a strong background in machine learning and a passion for optimizing real-time bidding strategies. In this role, you will design and develop algorithms to improve bidding efficiency and maximize ROI. This is a unique opportunity to work on a greenfield project and make a significant impact. Key Responsibilities: Develop machine learning models for real-time bidding optimization. Apply reinforcement learning techniques to enhance bidding strategies. Utilize multi-ar

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualif

We are assisting one of our start up clients build out their Data Science team as they disrupt B2B marketing. This person will apply advanced analytics and machine learning to improve their marketing platform as well as collaborate with senior leadership. Key Responsibilities: Performance & Growth Marketing Analytics: Apply expertise in performance marketing to detect ad fatigue, optimize match rates, and build audience models that drive campaign success. Advanced Analytics & Machine Learning: Collaborate with the Integrations team to apply advanced data analytics and ML techniques to optimize how data flows within Primer. User-Facing Features: Use insights to help build an AI copilot that drives better decision-making for our users, by developing targeting algorithms for improved customer outcomes. Collaborate Across Teams: Partner with internal data architects, product teams, and engineers to ensure data insights are impactful and lead to meaningful product outcomes. Must-Have Qualif

Visa Sponsorship is Not available for this position We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area. Key Responsibilities: Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges. Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency. Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance. Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems. Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science. Ensure best practices in ML model validation, interpretability, and performance optimization. Mentor and guide junior data scientists and

Staff Data Scientist Location: San Francisco (Remote Eligible) Salary: $200K–$230K base + Equity We’re looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You’ll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working

Staff Data Scientist Location: San Francisco (Remote Eligible) Salary: $200K–$230K base + Equity We’re looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You’ll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working

Visa Sponsorship is Not available for this position We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area. Key Responsibilities: Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges. Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency. Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance. Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems. Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science. Ensure best practices in ML model validation, interpretability, and performance optimization. Mentor and guide junior data scientists and

Staff Data Scientist Location: San Francisco (Remote Eligible) Salary: $200K–$230K base + Equity We’re looking for a Staff Data Scientist to take on a key leadership role at a rapidly growing travel technology company backed by top investors. In this role, you'll shape and scale machine learning models that drive critical business functions, including lead scoring, pricing, personalization, and fraud detection. This is an opportunity to work on complex, high-scale data challenges in a fast-moving, data-driven environment. What You’ll Do: Lead the development and deployment of ML models for lead scoring, churn prediction, pricing optimization, and personalization. Collaborate closely with engineering, analytics, and business teams to ensure actionable insights and measurable impact. Own end-to-end data science projects, from data gathering and feature engineering to model selection, inference, and performance monitoring. Enhance data infrastructure and analytics capabilities by working