Data Scientist

Purpose of this role:

The purpose of this role is to expand Flusso’s data analysis, data management and algorithm development capacity. Flusso has an incumbent Principal Data Scientist. This new hire will effectively create the Data Science team. Responsibilities on specific projects will be discussed in the team and assignments agreed with the VP Engineering, according to “best fit” with knowledge, experience and availability.

Responsibilities:

General Data analysis

• Analysis of experimental data and test results (obtained from automated test systems) for sensor performance assessment and improvement
• Development of internal techniques and tools for data processing

Data Preparation and Quality

• Assess data quality, highlight and catalogue data anomalies
• Data preparation, data selection and feature extraction
• Transfer standardised post processing to AWS lambda functions

Algorithm Development & Sensor Modelling

• Define experiments and tests needed for algorithm development and performance assessment
• Analysis of prepared data for development/improvement of algorithms to extract maximum sensing performance and value from novel sensor devices
• Model and understand sensor performance based on theory (underlying physics) and experimental data.
• Understand the limitations of operational processing capacity in the sensing solution (typically an ARM M0+core) and design practical algorithms accordingly
• Define final testing of algorithms and documentation of them.

The related responsibilities are

• Support the software/firmware team in the implementation of algorithms
• Work with Test Engineering to improve and extend the database and lambda function capability

Requirements

Qualification, knowledge, skills and experience

A strong academic background with at least a Master’s degree in Mathematics, Physics or a Numerate STEM subject is a prerequisite.

Essential knowledge, skills & experience:

• Proficient in experimental data analysis
• Algorithm development and mathematical modelling of physical systems
• Background in sensor data analysis, ideally gas sensors
• Programming skills in Python and MATLAB
• Extracting and clearly presenting useful, actionable information from data

Experience in these areas would be an advantage:

• Sensor fusion techniques
• CRISP-DM approach and algorithm release procedures
• MySQL
• AWS and Lambda functions
• Working in a semiconductor or MEMS component development business.

Profile

• Detail conscious, rigorous and meticulous.
• Confident in drawing conclusions from data analysis and presenting them to colleagues
• Comfortable working in a fast-paced, small-company environment.
• Pro-active, positive and enthusiastic by nature.
• Good at multi-tasking and responsive to changing needs of projects.
• Good documentation and communication skills.

Benefits

• Base salary
• Bonus (% of base salary) based on company and personal performance
• Workplace pension contribution 3% of full base salary (we can trade with salary level for higher)
• 25 days holiday plus bank holidays (adjusted for part time roles)
• Support for relocation (loan discharged over two years service)
• Hybrid home/office working, by agreement with line manager