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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. Experience in Cost optimization (AWS/Snowflake/Databricks) is a huge plus.
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Master's degree in a technical field (e.g. computer science, math, engineering Understanding of big data and real time streaming analytics processing architecture and ecosystems Experience with data analysis and data visualization tools Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js) Relevant technology or platform certification (AWS, Microsoft, etc.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. C andidate must also have a PhD with hands-on experience in R&D with proven credentials in patents and publications - 5 years and Strong familiarity with end-to-end data services/domains and technologies.
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Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
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Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Extensive expertise in technologies, frameworks and architecture like Angular, Java, Spring, Spring Boot, XML, JSON, Application Servers, CI/CD etc is required, and expertise in Python, Lambda architecture, Kafka, MySQL, PostgreSQL, In Memory databases, AWS, Cloud Engineering, Cloud Essentials, Spring Cloud Data Flow is a significant plus.
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CBTS is currently seeking an experienced Python Web Developer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Web Developer will work closely with Business domain experts and Data Engineers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
$75 - $95 an hourFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Use of advanced Data Science techniques for Modeling and Simulation Programs a plus. The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
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big data science a plus python jobs Company: Smx
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