Bachelorโs degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience with machine learning, natural language processing (NLP), or Generative AI and large language models (LLMs).
Experience with building data processing pipelines with tools like Kafka, Apache Beam (e.g., Dataflow) or Spark.
Experience with Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub).
Experience with time-series data and financial market data feeds.
Bachelor's degree or equivalent practical experience.
8 years of experience in digital media, sales, marketing, or product roles.
Experience working in digital or offline advertising.
Preferred qualifications:
Experience running Marketing Mix Models.
Experience working in a consultative capacity to synthesize customer actions and recommendations.
Experience of local market research with excellent customer-facing, consultative, and communication expertise.
Knowledge of ad effectiveness and brand measurement ecosystem, with experience in at least one area of sales effectiveness, brand health/tracking or audience measurement.
Bachelor's degree or equivalent practical experience.
8 years of experience in customer-facing roles, including interfacing with executive stakeholders, managing and delivering IT technical implementations, transformation programs, or other initiatives.
5 years of experience navigating customer organizational structures, developing and promoting services solutions, and on-time delivery.
Experience supporting enterprise customers in Cloud Professional Services organizations, IT consulting, or program management organizations.
Preferred qualifications:
Experience in cloud products and services.
Experience in industry standard financial concepts and metrics.
Experience in writing and discussing agreement documents, proposal documents for professional services engagements.
Ability to facilitate communication between technical and business stakeholders.
Bachelorโs degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or in a related Machine Learning (ML) field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience with machine learning, natural language processing (NLP), or Generative AI and large language models (LLMs).
Experience with building data processing pipelines with tools like Kafka, Apache Beam (e.g., Dataflow) or Spark.
Experience with Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub).
Experience with time-series data and financial market data feeds.
Bachelorโs degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Preferred qualifications:
2 years of experience with data structures or algorithms.
Experience working on highly scalable, database-backed, distributed systems.
Experience in designing, testing, delivering, and monitoring scalable high-availability software in a cloud computing environment.
Experience in communicating with internal and external partners to create system design.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.