M
Mackin TalentListed on Himalayas
Data Scientist
Remote · United States
Source: Himalayas. This job was published on Himalayas; you apply there.
RemoteContractMid levelData Science
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Estimated pay
Estimate$152K–$308K/yr
Estimate — the employer hasn't published pay.
Based on 76 similar mid-level Data Scientist jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
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At a glance
- Education
- Master's
- Benefits mentioned
- Retirement planGenerous paid leave
Skills mentioned
hadoopmachine learningpythonstatisticstableau
About the role
This is a remote position.
Our client is looking fora Data Scientistto 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.
Originally posted on Himalayas