Verified Job
IT / Software / Data Analyst
Principle Data Scientist
IT / Software / Data Analyst
#746289
Remote / WFH
Job description Responsibilities: Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology. Requirements: B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). Responsibilities: Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology. Requirements: B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
Job Description
Job description
Responsibilities:
Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology.
Requirements:
B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications:
M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). Responsibilities:
Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology.
Requirements:
B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications:
M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
Responsibilities:
Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology.
Requirements:
B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications:
M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI). Responsibilities:
Design and develop sophisticated bidding, budget pacing and other algorithms that optimise ad spend or ROI.Create frameworks and experimental designs to measure ad effectiveness and ROI.Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.Communicate long-term roadmap, insights and recommendations to tech and business leadership.Mentor junior data scientists and provide technical guidance.Lead research initiatives in machine learning, auction theory and advertising technology.
Requirements:
B. Tech in Computer Science, Machine Learning, or a related field with at least 9+ years of experience in AI/ML research.Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.History of mentoring junior data scientists, and comfortable in driving multiple problem statements.Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.
Preferred Qualifications:
M. Tech or PhD in Computer Science with a specialisation in Machine Learning.9+ years of experience applying machine learning and statistical modelling in AdTech, or related domains.Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.Track record of successful research-to-product transitions.Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
