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Data Scientist - Applied Mathematician

Flowminder Foundation

Location: Southampton, Work from home
Salary: Up to £57,900
Hours: Full Time
Contract Type: Permanent
Placed On: 6th January 2022
Closes: 4th February 2022
Job Ref: ACDLJ0302/CC

Based: Southampton or Stockholm (With the current pandemic situation, this role is likely to start with homeworking) 

The Role 

As a data analyst (applied mathematician) you will develop and test new methodologies for processing, analysing and interpreting large spatio-temporal datasets for the development and humanitarian sectors. 

As a developer, you will contribute to writing queries and code to extract and process data from medium- to large-size databases in a memory-efficient manner and will ensure sensitive data remain secure at all times. 

As a senior team member, you will engage with end-users to understand their needs and identify which insights will be most relevant, as well as with donors to support business development. 

Main tasks will include: 

- Conducting exploratory and standard analysis of time series, geo-referenced time series, images and maps, and geo-referenced survey data

- Developing novel data analysis methods and algorithms, data metrics, statistical and mechanistic models

- Anomaly detection and data cleaning

- Data integration: combining multiple data sources in analyses (spatial data, survey data, mobile operator data)

- Assessing and quantifying data limitations and uncertainty of outputs

- Protecting subjects’ privacy, including acting in accordance with GDPR

 

About You 

Your motivation to work with us should stem from your interest in tackling the following problems: 

- How to improve information extraction from mobile phone usage data (Call Detail Records, CDRs)

- How to identify and characterise the patterns of normal human mobility and detect abnormal changes

- How to ensure data products are computed in an efficient, robust and timely manner

- How to support the humanitarian and development sectors to make the most of mobile operator data

 

Essential criteria 

- A PhD in applied research in a quantitative discipline. Fields of expertise may include signal processing, time series analysis, data mining, pattern recognition, image processing; and areas of application could be any sector that uses time series

- Strong ability to reason under uncertainty: combining quantitative analytical thinking with contextual knowledge and using critical thinking to extract and interpret information and insights from data

- Demonstrable experience in the exploratory analysis of time series, collected outside of experimentally controlled environments

- Experience with sparse and irregular time series

- Experience with spatial data and/or geo-referenced data

- Proficiency in, and at least two years’ experience of, Python and its data analysis libraries, such as Pandas, NumPy, sklearn and Bokeh/Matplotlib

- Experience in writing well-documented, maintainable code

- Excellent written and verbal communication skills in English

- A genuine desire to see the outputs of your work improve the lives of vulnerable populations

 

The Benefits 

- Salary of up to £57,900 per annum

- 37.5 hours per week

- Flexible working hours

- Support projects to improve the lives of the world’s most vulnerable

- The opportunity to gain knowledge in various fields (such as public health, emergency co-ordination, disaster management, public services management) directly from experts in many countries

-The opportunity to work on and explore large-scale and near-real-time datasets reflecting human mobility

- Traveling is common for many data scientists and part of the role for project leaders in order to develop an understanding of the context and needs of stakeholders

- Collaborate with a talented and passionate team 

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