Data Scientist

Mackin Talent; United States; Remote; USD 80,000 - 113,000; Full time

Benefits offered by this job

Laptop and phone provided

Healthcare contribution

Company pension

25 days annual leave (pro-rata) + paid

Job summary

Mackin Talent is seeking a Data Scientist to join their team on a 12-month engagement. The role centers on exploring data from high-dimensional datasets to create innovative solutions and prototypes.

You will apply statistics, machine learning, and data visualization to support product decisions, collaborate with engineers, and translate findings into scalable analytics and dashboards.

Qualifications

• Master's degree in computer science or a relevant field.
• Experience with healthcare benefits and pension scheme.
• Proficient in data analysis and exploratory data analysis.

Responsibilities

• Apply statistics, machine learning, data modeling, and advanced mathematics to identify patterns and opportunities.
• Design, develop, and evaluate predictive models and algorithms for value extraction.
• Generate and test hypotheses and analyze results of product experiments.

Skills

Python

R

Data analysis

Tableau

Communication skills

Education

Master's degree in computer science or related field

Tools

Hadoop

Job description

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.
• 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.