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2+ years of experience as a developer, data scientist or machine learning engineer. Hands on SQL/Presto/BigQuery/Redshift experience. Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA.
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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
$146,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficient with data engineering, data analysis, data science, and machine learning. including experience with SQL, Python, dbt, Redshift, Fivetran, Airflow, Postgres, AWS, and more.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience designing and developing Microsoft Azure cloud-native applications leveraging PaaS offerings such as App Service Plans, Functions, SQL Database, Search, Data Factory, Data Lake, Synapse, Fabric, etc.
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The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent across ongoing projects.
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Machine Learning experience (nice to have) Python, R, SQL, AWS, Tableau, PowerBI. This person ideally has experience in the gaming industry and has a very high level understanding of segmenting game data and user data.
$190,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with machine learning algorithms and predictive modeling. Expert in SQL and one analytics programming language (Python or R), and data visualization tools. 5+ years of professional experience in decision science, data science, business analytics, software engineering, or related field; 1+ years of experience as a Lead, Principle, or senior-level Scientist/Analyst, managing complex projects or early stage products.
$155,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Practical experience in several of the following areas: Linear Programming, Dynamic Programming, Stochastic Optimization, Robust Optimization, Black Box Optimization, Machine Learning. Experience with data scripting languages (e.g. SQL, Python, R etc.
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We build, maintain, and monitor thousands of signals required to ensure that our data can be used to drive critical insights on our business, to provide quality input to our machine learning models, and to serve as a foundation for the innovation and creativity required to move us forward as the world’s premier streaming service.
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Proficiency in programming languages such as Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-Learn.
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We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high-visibility data pipelines and products.
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Experience analyzing and manipulating data sets using R, Python, SQL and etc. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
$95,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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The Data Scientist Intern delivers analytical solutions using programming, data-mining, statistics, machine learning, and visualization techniques. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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