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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Solid understanding of statistical and machine learning algorithms. Tiger Analytics is an advanced analytics consulting firm. Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
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Expertise with scaling pilot machine learning solutions to a large scale production environment using databricks. machine learning workflows, integrating / deployment of code in a large-scale production.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Experience in providing business solutions which require analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems.
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Ability to collaborate with Data Engineers and Data Scientist to build data and model pipelines and help running machine learning tests and experiments. Ability to abstract complexity of production for machine learning using containers.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.
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As a Principal Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Work on the latest applications of data science to solve business problems. Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach.
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Tiger Analytics is a fast-growing advanced analytics consulting firm. Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
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Identify and define traffic management and security design discussions partnering with feature delivery teams. We are seeking a highly motivated and experienced Associate Product Owner with a strong background in Health Analytics to join our dynamic team.
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Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Basic troubleshooting using one or more of the technologies like SQL, PL/SQL, DWH, ETL and Cloud Technologies and tools.
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learning job Company: Tiger Analytics
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
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