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Mackin Talent

Data Scientist

Mackin Talent

Staffing and Recruiting · 51-200 employees

Oct 21
Remote data-scientist Mid (2-5 yrs) Contractor
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About the role

The Data Scientist will produce innovative solutions through exploratory data analysis and develop predictive models using machine learning and advanced mathematics. They will also collaborate with product engineers to translate prototypes into new products and provide business intelligence support.

What they look for

Python R Hadoop Tableau Statistics Machine learning Data modeling Simulation Advanced mathematics Predictive modeling Algorithms Data visualization Business intelligence Exploratory data analysis Hypothesis testing

Requirements

Candidates must hold a Master of Science degree in computer science or a relevant field. Proficiency in programming languages like Python or R, big data tools such as Hadoop, and data visualization tools like Tableau is required.

Benefits

Competitive salary Healthcare contribution Company pension scheme Work laptop Work phone 25 days annual leave Paid bank holidays Career progression opportunities

Full description

This is a remote position.

Our client is looking for a Data Scientist to join their team.

Duration - 12 months

Location - UK Remote

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Job Responsibilities:

  • Apply knowledge of statistics, machine learning, programming, data modeling, 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 analyze 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.

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.

Education/Experience:

  • Master of Science degree in computer science or in a relevant field.

Benefits

  • Competitive salary
  • Healthcare contribution and inclusion in company pension scheme
  • Work laptop and phone
  • 25 days annual leave (pro-rata) plus paid bank holidays
  • Expanding workforce with potential for career progression for top performers.

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