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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Snowflake, Azure - Data Factory & Databricks.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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S Posted byPresidentFocus Capital is supporting its health technology division by introducing rockstar Software Engineer with prior experience working in Machine Learning, AI and Data Science technologies.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Exposure to Apache Spark, Apache Hadoop, Apache Kafka, AWS Services, Azure Services, Microservice Architecture, Databricks. What you'll need to succeed Masters' degree in Computer Science, or equivalent experience.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You are familiar with data infrastructure and toolings such as Presto, Hive, Spark and BigQuery. MongoDB is growing rapidly and seeking a Senior Software Engineer for the Machine Learning Platform team to be a key contributor to the critical data science and machine learning initiatives at MongoDB. The ML Platform team focuses on building a scalable, reliable, and flexible machine learning ecosystem encompassing key components such as model training, deployment, instrumentation and performance tracking in order to empower critical MongoDB product and business initiatives.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ROLE SUMMARYPfizer’s Director – Team Lead, Data Science Platform Engineer leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong tendency towards high performance teams and organizations by enabling everyone to be successfulExperience with the Cybersecurity, Risk, and Fraud domainsExperience with technologies: Spark, Kafka, Java, PhP, React, SpringBoot and theSpring ecosystem, Kubernetes, Docker, Jenkins, AWS, Microservices architecture, CI/CD pipelinesBS Computer Science preferredResponsibilities Develop a strategic roadmap to progress fraud features and education for internal and external customers.
$351,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technology stack experience: AWS, Snowflake, Databricks, Apache Spark, Power BI / Tableau. The Product Director has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data.
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Extensive hands-on experience in Contract First/Design First Software Development for Microservices and Data Products, and CI/CD using the Service & Data ContractsBroad knowledge across data engineering (e.g., ETL/ELT, data modeling), data governance (e.g., data modeling, data classification, data catalog and lineage), batch and real-time streaming data platforms (e.g., Airflow, Spark, Hadoop, Hive, Kafka, dbt), and cloud services (e.g., GCS, BigQuery, Vertex AI, Databricks.
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