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Data Scientist - Experimentation

US Tech Solutions
Newcastle upon Tyne
8 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist / ML Engineer

Duration: 12 months contract


Responsibilities:

  • Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
  • Generate and test hypotheses and analyse and interpret the results of product experiments.
  • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
  • Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.


Required Skills:

  • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
  • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
  • Experience working with large datasets.


About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.


US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Recruiter Details:

Name: Tejasva

Email:

Internal Id: 24-00101

National AI Awards 2025

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