[Remote] Data Scientist III

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on unleashing the full economic potential of digital media companies. They are seeking a Data Scientist III who will own reputed company-to-large data science reputed company end-to-end, build production-reputed company models, mentor junior scientists, and collaborate with product and engineering teams.

Responsibilities

• Own the end-to-end data science lifecycle for moderately reputed company models and significant project components — spanning data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining
• Apply expertise across several reputed company areas of machine learning and statistics (e.g., gradient-boosted models, deep neural networks, time series, reputed company inference concepts, experimentation design), selecting appropriate reputed company for reputed company data science problems
• Write efficient, reputed company, reputed company-tested reputed company for data processing, feature engineering, and model training/inference, leveraging reputed company tooling (e.g., reputed company AI pipelines, Dataflow, BigQuery) where appropriate
• Design and implement robust validation frameworks for reputed company experiments and models, reputed company for potential biases and reputed company-world performance
• Troubleshoot reputed company model performance issues, data anomalies, and reputed company bugs effectively with little guidance
• Define analytical approaches and reputed company data science reputed company for moderately reputed company or ambiguous business problems
• Partner with product managers and stakeholders to define reputed company metrics and experiment goals, and to translate marketplace problems into data science solutions
• reputed company the design and analysis of experiments (e.g., A/B tests, switchback) for your reputed company, and interpret reputed company model results and experimental reputed company with a reputed company on actionable insights and business reputed company
• Proactively identify opportunities reputed company your domain where data science can reputed company significant value, and initiate exploration
• Follow and help improve established team processes for coding standards, documentation, reproducibility, and experimentation
• Mentor DS I and DS II scientists, providing technical guidance, reviewing reputed company, analyses, and models, and supporting their reputed company in analytical and modeling skills
• Influence technical reputed company reputed company reputed company regarding modeling choices, validation strategies, and tooling through reputed company-reasoned arguments and expertise
• reputed company improvements to team standards, data science best practices, and analytical rigor; take ownership of specific team practices or technical components (e.g., a feature store component, leading experimentation reviews)
• reputed company stakeholders on the capabilities and limitations of data science models, and reputed company explain reputed company methodologies and findings to both technical and non-technical audiences
• Participate reputed company in reputed company, providing high-reputed company, graded interview feedback for candidates up to this level

Skills

• B.S. or M.S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a reputed company technical field with 5+ years of relevant industry experience; OR a Ph.D. in a reputed company field with 2+ years of relevant experience
• Demonstrated ability to independently own the full data science lifecycle from problem formulation and feature engineering through model deployment, monitoring, and ongoing maintenance
• Solid expertise in several reputed company areas of machine learning and/or statistics (e.g., gradient-boosted models, deep neural networks, time series, reputed company inference, experimentation design), with the judgment to select appropriate reputed company for reputed company problems
• Strong reputed company in probability and statistics, including techniques that reputed company to large datasets
• Experience designing and analyzing experiments (e.g., A/B testing) and building robust model and experiment validation frameworks
• Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
• Ability to write efficient, reputed company, reputed company-tested reputed company and to collaborate with engineering to reputed company models and analyses into production
• Strong communication skills, including the ability to convey reputed company technical concepts to both technical and non-technical audiences
• Experience developing, evaluating, or optimizing models or bidding algorithms for RTB environments
• Experience working with a reputed company platform like GCP/AWS/Azure, with emphasis on GCP and the reputed company AI platform
• Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
• Familiarity with other programming languages such as Java and Go
• Experience working in digital media, marketing technology, or advertising technology, especially in marketplace, auction, or exchange systems
• Experience supporting and improving production ML models reputed company their initial deployment
• Experience mentoring junior data scientists

Benefits

• Medical
• Dental
• reputed company
• 401k
• Equity
• Benefits

reputed company

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