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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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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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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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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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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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7+ years of experience as a data analyst, data engineer or data scientist. Python, API Integration, SQL, Tableau, Tableau Prep, Data Engineering(mid level), Excel, Big Data, Snowflake (Nice to have.
$67.38 - $69.82 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Skills - Python, API Integration, SQL, Tableau, Tableau Prep, Data Engineering(mid level), Excel, Big Data, Snowflake (Nice to have) 2+ years of experience with Hadoop Ecosystem e.g. Spark, Pyspark, Hive, Presto, HMS.
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Machine Learning Engineer - Marketplace Growth (TikTok Global E-Commerce Supply Chain And Logistics)
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3+ years experience as a Machine Learning Engineer, Data Scientist, or similar role. Experience with big data processing frameworks (, Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage. 3 - 5 years of experience as a Data scientist. ○Databricks and Spark.
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Experience in cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark is highly desirable. Design and develop advanced AI/ML, computer vision and geospatial models for complex environmental challenges using diverse data i.e., Satellite, Lidar, and refine methodologies for accurate and efficient processing of 2D/3D data.
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Industry experience using distributed data processing such as Spark, BigQuery, or Apache Beam. You may not have prior data science and ML background but need to build up knowledge in this area and tremendous curiosity in how the data can and will be utilized by the data scientist.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity.
$162,000 - $254,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra) including drilling into problems of running large scale software in a big network Proven hands on experience in data cleaning, aggregation, transformation and extraction.
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We are revolutionizing how shows, movies, and games are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the discovery and personalization of our offerings to our global user base using Machine Learning and data analytics.
$100,000 - $720,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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