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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.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Our client is in the gaming space looking for a Data Engineer with 4-6 years of experience to join their Data team of 6.
$190,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expert in SQL and one analytics programming language (Python or R), and data visualization tools. Familiarity with machine learning algorithms and predictive modeling. 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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Experience with data scripting languages (e.g. SQL, Python, R etc.) We are looking for a Senior Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our American fulfillment strategy, to maximize our Customer Experience and minimize our cost and carbon footprint.
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Leverage your skills in SQL, Scala, and Python to build models that measure and evaluate the quality, consistency, resilience, accuracy, and availability of our data. 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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data. 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 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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Familiarity with programming languages such as Python, R, Scala, DAX or M Understanding of databases (Big Query, Snowflake, other Relational/Non-relational), SQL, and data structures. Exposure to Power BI, Tableau, Qlikview or other BI tools Exposure to data science methodologies and machine learning algorithms.
InternExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Intensive hands-on experience building actionable insight, A/B testing or observational study, using data to influence product strategy and roadmap. Enable data-driven decisions through analysis, experimentation, causal inference, and modeling.
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