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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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Data science, machine learning, optimization models, PhD 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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In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online.
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Staff Data Scientist. Python, R, or Scala for data analysis and model development. TensorFlow, PyTorch, scikit-learn, or Spark ML. Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning to drive innovation and continuous improvement.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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With over 900 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. Data Scientist - Payments & Subscriptions.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop). Data Pipeline Engineering: Design and develop data processing pipelines to ingest, clean, and preprocess large-scale datasets, ensuring data quality and integrity throughout the machine learning lifecycle.
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Experience with data pipeline development using Spark and Airflow. Our team use large-scale data analysis, machine learning, and modeling to retrieve actionable insights for enhancing the charging experience while minimizing the costs to Tesla.
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We are located in heart of Silicon Valley in Mountain View, CA. We are looking for an experienced data scientist or engineer with ML experience who is excited to apply machine learning to real-world problems and build models that will go into production.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum Qualifications- 5+ years of hands-on experience in developing, implementing, and validating Transaction Monitoring programs- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala.
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Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company.
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Position SummarySr. Data Scientist/Machine Learning Engineer – Recommender Systems. You have 3-6 years of experience in Big Data environment specifically Hive/Spark where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.
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As a Lead Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement.
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data scientist spark jobs in Menlo Park, CA
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