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Minimum 5 years of experience in data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
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Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc., Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Able to create repeatable data load and ETL processes using python scripts. Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects.
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Experience connecting directly to data sources and writing your own SQL queries; any Python, Spark, or Databricks experience is a huge plus. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.
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Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems. Our tech stack currently includes GCP, Python, Looker, and SQL.
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Build complex data engineering pipelines using Python and Airflow to hydrate DataMart in Snowflake and Data Lake in AWS Cloud. · Build complex data engineering pipelines using Python and Airflow to hydrate DataMart in Snowflake and Data Lake in AWS Cloud.
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Proficiency in data analytics tools, programming languages (Python, R, SQL), and data visualization tools (Tableau, Power BI). As the Data Director, you will play a critical role in shaping the future of our gaming platform and services.
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Serve as a subject matter expert and implementation lead for application of open-source R and python causal modeling libraries to clinical trial data and use-cases. The Clinical Biomarkers & Diagnostics (CBD) department at Company is looking for a highly motivated Computational Biologist with expertise in causal machine learning models and the development of predictive signatures from multi-omics and multi-modal biomarker data to enable clinical biomarker discovery and development.
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Hands on experience with programming languages including SQL, Python on cloud data platforms like Snowflake , Redshift etc. Nice to Have : Experience with enterprise ELT platforms like Talend , Fivetran and flexibility to build an in-house transformation code base using SQL, Python, Airflow etc.
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Proficiency with Stata, R, Python and other programming languages. Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with statistical software (e.g., R, Python) and database querying languages (SQL). We are seeking a talented and data-driven Data Scientist to help us launch a delightful consumer-facing product that is incubated within SCA. Reporting to the Director of Product, Marketing, and Customer Analytics, you will play a crucial role in driving data-driven decision-making, optimizing product performance, and maximizing marketing effectiveness.
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As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Develop and implement analytics applications to extract meaningful insights from large, disparate data sources using Python, R, SQL, and data visualization tools. 3-5+ years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data.
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