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622 jobs found for Management Scientist Director

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  • - Facilitate the establishment and execution of the roadmap and vision for information delivery and management; - Lead the data scientists and deliver the solutions that fulfill the Business needs. - Able to advice, guide the team to design client-specific strategic service offerings

  • Use your expertise in data mining to uncover actionable insights Use your presentation skills to communicate insights clearly to business and product management Influence business decisions using data Partner with engineering to spot opportunities and build solutions for improving data driven decision

  • Brief requirement below for the new roles for data scientist: A deep understanding of statistical and advanced analytic model implementation, machine-learning, clustering and classification techniques, and recommendation and optimization algorithms. Expert in analyzing large, complex, Around 2+ years of experience in Decision science, Predictive Analytics, Machine Learning and Natural Language Processing ...

  • Brief requirement below for the new roles for data scientist: A deep understanding of statistical and advanced analytic model implementation, machine-learning, clustering and classification techniques, and recommendation and optimization algorithms. Expert in analyzing large, complex, Around 2+ years of experience in Decision science, Predictive Analytics, Machine Learning and Natural Language Processing ...

  • Hadoop platform, RDBMS etc Good sense of Data Management, manipulation and transformation Insurance background is a plus, but not necessary

  • Hadoop platform, RDBMS etc Good sense of Data Management, manipulation and transformation Insurance background is a plus, but not necessary

  • Drive the development and application of new dye formulations within development projects or according to individual request: to match desire technical specification. Communicate with people from various regions of the company, and from multiple disciplines. Support with dye formulation to develop solutions which will deliver the value propositions, reflecting input from the Regions, R&D, Global PM ...

  • Drive the development and application of new dye formulations within development projects or according to individual request: to match desire technical specification. Communicate with people from various regions of the company, and from multiple disciplines. Support with dye formulation to develop solutions which will deliver the value propositions, reflecting input from the Regions, R&D, Global PM ...

  • Drive the development and application of new dye formulations within development projects or according to individual request: to match desire technical specification. Communicate with people from various regions of the company, and from multiple disciplines. Support with dye formulation to develop solutions which will deliver the value propositions, reflecting input from the Regions, R&D, Global PM ...

  • Drive the development and application of new dye formulations within development projects or according to individual request: to match desire technical specification. Communicate with people from various regions of the company, and from multiple disciplines. Support with dye formulation to develop solutions which will deliver the value propositions, reflecting input from the Regions, R&D, Global PM ...

  • Drive the development and application of new dye formulations within development projects or according to individual request: to match desire technical specification. Communicate with people from various regions of the company, and from multiple disciplines. Support with dye formulation to develop solutions which will deliver the value propositions, reflecting input from the Regions, R&D, Global PM ...

  • for finding patterns in large datasets. The Data Scientist will be part of a data science team - typically involving large, complex datasets. They will work in technical teams in development, deployment, and application of applied, predictive, and prescriptive analytics. Responsibilities: 3 to 5 years

  • representation, processing, storage, communication of, and access to data and information. The ability to automate algorithmic processes that scale. Big Data Analysis: Strong ability to manage and analyze data in a Hadoop environment using a variety of scripts, including Scala/Spark, R, and others. Computer

  • representation, processing, storage, communication of, and access to data and information. The ability to automate algorithmic processes that scale. Big Data Analysis: Strong ability to manage and analyze data in a Hadoop environment using a variety of scripts, including Scala/Spark, R, and others. Computer

  • Key Responsibilities: Lead execution of analytics engagements in various industry verticals by understanding client problems, and developing approach, project planand identifying most suitable techniques/tools. Provide technical (Analytics) leadership to project teams of various skill sets who are developing analytical solutions to solve clients key business needs Act and contribute to thought ...

  • numbers acumen and be comfortable generating and evaluating forecasts, metrics Strong knowledge of SQL (valid certification), Data management experience will be a huge plus

  • numbers acumen and be comfortable generating and evaluating forecasts, metrics Strong knowledge of SQL (valid certification), Data management experience will be a huge plus

  • numbers acumen and be comfortable generating and evaluating forecasts, metrics Strong knowledge of SQL (valid certification), Data management experience will be a huge plus

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