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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Experience with video streaming technologies like HLS, DASH.
$100,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Utilize expertise in Streamlit, Flask, Dash, and Snowflake to architect and build interactive front ends for analytical applications. Implement interactive charts, graphs, and data visualizations to effectively convey complex agricultural analytics.
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Leverage a broad stack of technologies — Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You have worked within a gig platform or tech company (e.g. Door Dash, Instacart, Uber, etc. Working in a space that requires a deep dive of Graph analytics and/or Graph algorithms. Performing data analytics using company systems and tools to identify potential fraud, waste, and abuse.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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.
RemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Advanced proficiency in visualization tools such as R-Shiny or Plotly-Dash. Leverage actuarial data warehouse, data engineering and/or data architect experience to lead the development and implementation of the Longevity Analytics Database (LAD.
Full-timeExpandUpdated 16 days ago - UpvoteDownvoteShare Job
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Proficiency within social and publishing platforms such asFacebook Ads Manager, Snapchat, Twitter Ads Manager, Pinterest, LinkedIn, TikTok, Sprout, Hootsuite, Dash Hudson) Knowledge of third-party tracking and ad-serving technology ( DCM/Google Campaign Manager 360, Adobe Analytics.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Partner with analytics and media strategy colleague to develop a management and measurement framework to steer and monitor program progress and success. Proactively devise and push new concepts to manage and grow your media program including analytics, strategy, and test and learn initiatives.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Lead the development of data visualization tooling using advanced tools like RShiny, Dash Plotly, and Spotfire. Masters degree or equivalent in life science, data analytics, data science computer science, Math, Statistics, or related discipline.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We’re not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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We hold a pattern in Graph analytics and are in the process of the next application in the NLP space - the opportunities to learn and build fast allows team members to gain their full potential.
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Collaborate within strategy and analytics department, as well as across soccer operations departments. Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Work with Business Analysts to translate various business needs into EDM canonical data mapping, analytics, reporting, and dash-boarding requirements. Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine and reporting tools like Power BI.
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