Develop advanced machine learning solutions to improve customer acquisition, engagement, retention, and lifecycle marketing effectiveness.
Responsibilities
Design, develop, deploy, and improve machine learning models that support customer acquisition, engagement, retention, targeting, personalization, and marketing optimization initiatives.
Apply advanced machine learning techniques, including predictive modeling, classification, optimization, experimentation, deep learning, and reinforcement learning approaches to solve complex marketing challenges.
Own machine learning projects from problem definition and data exploration through model development, deployment, evaluation, and ongoing optimization.
Evaluate model performance using offline metrics, experimentation frameworks, and business outcomes to ensure solutions deliver measurable value.
Partner closely with Product, Marketing, Engineering, Analytics, Finance, and Data teams to identify opportunities and implement machine learning solutions that improve business performance.
Requirements
M.S. in Computer Science, Machine Learning, Statistics, Economics, Applied Mathematics, Operations Research, or a related quantitative field required; Ph.D. preferred.
As a Marketing Data Scientist, you will leverage our advanced data infrastructure on the Google Cloud Platform (GCP) to generate actionable insights.
Responsibilities
You conduct detailed analyses of customer, marketing, and onsite data using SQL and Python to optimize the operational management of marketing campaigns.
You will take end-to-end ownership of your analytical projects—from initial data analysis and preparation to model evaluation and the automated delivery of findings.
Expand and optimize Data Science use cases, such as marketing mix modelling or bidding optimizations, using open source technologies.
Develop and provide self-service BI solutions tailored specifically to marketing requirements and customer attributes.
Design and build infrastructures to support features that empower billions of Siri, Spotlight, and Safari users, performing language processing, statistical analysis, and user intent analysis to improve product outcomes.
Locations (2)
Beijing, China
Shanghai, China
Responsibilities
Design and build infrastructures to support features that empower billions of Siri, Spotlight, and Safari users
Perform language processing, statistical analysis, and user intent analysis to support hypotheses for product improvement
Leverage proprietary parallel data processing platform to process web‑scale data
Design and run/deploy metrics and evaluations of features and improvements using A/B testing
Present results of analysis to team and leadership across Apple
Requirements
Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related technical field
Doing large scale machine learning and deep learning to improve Query Understanding and Ranking of Siri Search and developing fundamental building blocks needed for Artificial Intelligence.
Locations (2)
Beijing, Beijing, China
Shanghai, Shanghai, China
Responsibilities
Design and build infrastructures to support features that empowers billions of Siri, Spotlight, and Safari users.
Perform language processing, statistical analysis, and user intent analysis to support your hypothesis for how to improve product-outcomes.
Leverage proprietary parallel data processing platform to process web scale data to deliver product features and improvements.
Design and run/deploy various metrics and evaluations of features/improvements using a variety of tools like grading, logs processing, pre-launch and holdback A/Bs.
Present results of analysis to team and leadership across Apple.
Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather and analyze requirements for custom software development.
Maintain and improve existing software components to enhance performance and reliability.
We are seeking a Data Scientist / Senior Data Scientist with 5–7 years of experience in data science, machine learning, advanced analytics, and AI solution development, with a strong emphasis on Generative AI (GenAI) and AI application development.
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
Design, develop, and deploy AI and GenAI applications that address business needs using machine learning, large language models, and intelligent workflow orchestration.
Build and optimize predictive, statistical, and time series models for business and operational use cases.
Develop robust data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.
Lead Python-based application development for automation, data transformation, model integration, API development, and AI-powered workflows.
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, AI, or a related field
Nice to have: Dataiku
Nice to have: Tableau
Nice to have: domain awareness of industrial systems such as compressors, motors, power systems, refrigeration systems, and IC engines
The quantitative Investment Portfolio Manager is responsible for research and developing methodologies required for managing global multi-asset risk parity based portfolios, innovating across asset classes including fixed income, equities, and commodities.
Compensation
Base salary: $200,000 - $250,000
Responsibilities
Conduct alpha factor research for global equity strategies by generating creative investment ideas and rigorous quantitative analysts.
Apply statistical analysis and modeling techniques with finance intuition to datasets large and small, enhance existing models, and pursue new and previously unexplored research topics.
Perform advanced programming in Python/Pandas, R, and SQL, and highly customized data extraction from Factset, Bloomberg, Revere, and Thompson Reuters databases.
Author research papers to showcase PanAgora’s research depth.
Design and manage research agendas.
Requirements
Master’s degree in Finance, Econometrics, Economics, Mathematics, or a directly related field
Senior Data Scientist for a consultancy mission focused on building responsible AI models for Marketing and Communication, utilizing LLMs, text classification, and summarization.
Responsibilities
Tackle various business challenges by creating responsible AI models to answer the needs of Marketing and Communication and make campaigns more relevant and impactful.
Capture business needs, determine feasibility, build models and analyses to identify the most relevant target groups, and set up tests to measure model impact.
Build models to support customer journey-driven marketing campaigns.
Build pipelines that clean and structure web analytics and use LLMs to detect customer intent.
Develop and deploy automated summarization models using LLMs or traditional NLP methods.
Requirements
Master's degree or higher in a quantitative field such as statistics, mathematics or computer science
Lead data science initiatives for Blue Yonder’s Applied Data Science team, driving product adoption, forecasting, planning, and pricing improvements for customers.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques.
Conduct data mining using cutting-edge methods and tools.
Integrate third-party data sources to enhance the company’s datasets when necessary.
Refine data collection procedures to ensure relevant data is available for analytic systems.
Process, cleanse, and verify the integrity of data used for analysis.
Requirements
Bachelor’s or master’s degree in computer science with a focus on Data Science
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