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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Skilled in Prompt Engineering and AI chatbot/user facing applications with features such as search, translation, and summarization.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use Microservices, NoSQL, Spring Boot, RESTful services, Cloud technologies, AWS, Java, Junit, Spring, Karate, Cucumber, Gherkin, Spring Security, Hibernate, Kafka, Angular, MVC, Jenkins, Git, BitBucket, CI/CD, HTML, CSS, SQL, Python, TCP, IP, JMS, IntelliJ, Giffy, Visio, Gradle, Maven, Postman, Jupiter, Selenium.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Programming experience with Python and/or R (R Studio) is a plus.
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Knowledge of Power BI, SQL, Python, R, DAX, Databricks, Power BI Paginated Report Builder, and DevOps. Experience in U.S. electricity markets, wind farm operations, production-based availability, performance loss calculations, and high frequency timeseries data.
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Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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IonsAdvanced proficiency in python programming and experience working with libraries like numpy, pandas and NLP (natural language processing) framewo. Understanding of data structures, algorithms and application of core data science techniques and exploratory data analysis (EDA) sk.
$70 - $80 an hourExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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