As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in various domains, such as ads optimization, customer data platform and prediction of user behaviour. You will apply and analyze these algorithms at scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical and deep learning models that directly impact company goals.
Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
Analyze and leverage extensive application data to enhance model performance and accuracy.
Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical and deep learning models that directly impact company goals.
Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
Analyze and leverage extensive application data to enhance model performance and accuracy.
Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.
Requirements:
Masters degree in Statistics, Mathematics, or Computer Science.
Minimum of 3 years of experience in designing, developing and deploying production-level deep learning models with proven business impact.
Fluency in Python, Pandas/Dask, SQL, PyTorch or TensorFlow. Ability to write readable and maintainable code.
Strong communication and storytelling skills with both technical and non-technical audiences, able to present complex technical subjects clearly.
Ability to read AI research publications and implement algorithms & architectures from scratch.
Ability to effectively integrate and utilize AI tools to optimize workflow efficiency.
Advantages
Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
Experience with deep learning graph model solutions on 10s of TB of data.
Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
Strong business acumen or prior experience within the social media/messaging industry.
Masters degree in Statistics, Mathematics, or Computer Science.
Minimum of 3 years of experience in designing, developing and deploying production-level deep learning models with proven business impact.
Fluency in Python, Pandas/Dask, SQL, PyTorch or TensorFlow. Ability to write readable and maintainable code.
Strong communication and storytelling skills with both technical and non-technical audiences, able to present complex technical subjects clearly.
Ability to read AI research publications and implement algorithms & architectures from scratch.
Ability to effectively integrate and utilize AI tools to optimize workflow efficiency.
Advantages
Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
Experience with deep learning graph model solutions on 10s of TB of data.
Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
Strong business acumen or prior experience within the social media/messaging industry.
This position is open to all candidates.
