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Experienced in Python programming, including developing Python Dash or Flask applications and FastAPIs. Experience with machine learning and statistical programming using Python frameworks like Pandas, Scikit-learn, PyTorch, Hugging Face, NLTK, and Spacy.
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Experience with data science tools and compute platforms (e.g., AWS SageMaker, Databricks, Domino, Red Hat Enterprise Linux, Red Hat OpenShift) However, as a Data Scientist on our team, you will have the opportunity to work across all aspects of the analytics pipeline, from evaluating candidate datasets for use, applying last-mile data engineering, developing ML, NLP, or econometric models, creating data visualizations, and deploying models to front-end systems in a repeatable automated manner.
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Expertise with data visualization tools such as Spotfire, Tableau, RShinyApp or Python Dash. Proficient in programming languages such as Python, R, SQL, Java, or Scala and in debugging and diagnosing.
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Knowledge in Data Engineering (Spark/SQL): understanding of different data visualizations tools for Data Visualization (i.e. AWS QuickSight, Tableau, Power BI, IMPACT plotly/dash, Angular. You have programming skills in Java, Python, and Kotlin would also be a plus.
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Experience building and deploying data apps using R Shiny, Flask, Dash, Streamlit or similar tools. Develop and implement analytics applications to extract meaningful insights from large, disparate data sources using Python, R, SQL, and data visualization tools.
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Experience with streaming protocols (HLS/DASH), encoding (H.264), AWS Media Services. Development skills in Golang, Python, YAML scripting or equivalent programming languages. Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group.
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Python, Dash/Streamlit, for data visualization web apps. Some experience in Python, IoT, data collection and data visualization is preferred. Python for various automation and custom instruments firmware.
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Strong Python knowledge Passion for developer experience and expertise in API design and usability Experience building and scaling large-scale analysis or machine learning tools Experience with modern data technologies (Postgres, Snowflake, Redshift, Airflow, dbt) Data visualization expertise (Plotly, Panel, Dash) Willingness to support and educate our researchers on best practices in software engineering Experience with a strongly typed or compiled language (e.g., Java, C.
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Experience working with a broad range of data analysis tools and coding languages (i.e., Coda, Python, SQL, Plotly/Dash, etc.) Strong competency in an analytical / data toolkit (i.e., Advanced Excel, SQL, Databricks, Snowflake, data viz tools etc.
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Experience with the technologies we currently use is a plus, but by no means required: Dagster, Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python. We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
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Experience with complex data analysis using SQL, dash-boarding using Looker / Tableau (or) other visualization tools. Experience with a statistical programming language (e.g. R, Python) is preferred but not required.
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Power BI, DAX, SAP Business Objects, SAP Dashboards, Plotly Dash, Bokeh, Streamlit, R Markdown, Python (required), Restful APIs, Power Query and Power Automate, Sharepoint Reporting, DataBricks.
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Experience querying databases and using statistical computer languages (e.g. R, Python, SLQ) to manipulate data and visualize insights from large data sets (e.g. Shiny, Plotly, Dash). Familiarity with BI technologies (e.g. Microsoft Power BI), online analytical processing (OLAP) and extract, transform, load (ETL) framework (e.g. Alteryx, Kettle.
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Working knowledge and experience with: SQL, noSQL, SQLAlchemy, Flask, Streamlit, Dash, React,Javascript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD.
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As a Python developer, you will be working on expanding and maintaining our Django web application, building and maintaining Plotly Dash-based visualizations, building and maintaining Python-based ETL applications, researching emerging technologies, and helping us manage our server infrastructure.
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