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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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Experience in Cost optimization (AWS/Snowflake/Databricks) is a huge plus. Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks.
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Google Professional Data Engineer / Cloud Developer certifications are a plus. Knowledge of Google Analytics, Salesforce, HubSpot, and/or ZenDesk is a plus. Knowledge of Looker or Tableau is a plus.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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In order to do this we leverage a diverse set of tools and skill-sets in a dynamic, fast-paced, cohesive engineering team with opportunities to delve deeper into multiple areas of technical expertise - architecture, data security, full-stack web applications, developer operations and much more.
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The ideal candidate will have an interest in biomedical research, be enthusiastic and highly motivated to participate in team science, have strong computing skills including coding in Matlab/Python/R, and experience in machine learning methods.
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Our team creates world-class immersive digital experiences for the Companys premier vacation brands including Disneys Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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Our Seasonal Data Entry Associate/ Order Blaster is r esponsible for entering large business orders and updating spreadsheet information. Do you enjoy data entry and want to earn a little extra Holiday Money.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Utilizing Python, Kotlin, Snowflake, DBT, and Kubernetes, you will play a crucial role in enhancing our data infrastructure. 5+ years of programming experience with a focus on data extraction, transformation, and object-oriented programming.
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By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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data science a plus r python jobs Company: Smx in Philadelphia, PA
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