Position: Data Scientist
Company: DataJob
Experience required: 3y
English level: upper

Responsibilities:

• You will work in collaboration with business stakeholders, analysts and machine learning engineers, both within your team and supporting other teams, on creating value from data by exploring large datasets, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usage and also scale out to the comprehensive fashion network of the company.

• You will be involved in all stages of projects, from data exploration and building proof of concept to operationalization and handover to other teams.

• You will proactively fetch information from various sources, create data sets and do analysis to better understand current business performance and processes.

• You come up with suggestions on how business processes can be improved with the help of data modelling and what methods can be tested and applied.

• You will design, build, test and iterate proof of concepts, with clear focus on business value and with the desired end product in mind.

• You will take part in researching and developing state-of-the-art methods which can make a big impact on the business.
 
Competences

Required skills/qualifications:

• Have a degree that combines software engineering or similar field (e.g. computer science and programming) with a quantitative field (e.g. physics, biology, finance, etc) and a strong will to continuously develop your engineering skillset.

• Are a hands-on person, love testing new modelling assumptions and putting the best performing ones into production as much as breathing and would like to deploy software engineering practice into machine learning projects.

• Have at least 2 plus years of working experience in developing machine learning products

• Have at least 2 years of experience with deep learning for computer vision. Graph models (either graph neural networks and/or traditional graphs) is seen as a merit.

• Are experienced in Python. Experience in Spark and distributed computing is seen as a merit.

• Have experience with handling high volume heterogeneous data (both batch and stream) and good understanding about data storage and data structure would be meriting

• Have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation
 
Tools/software:

• Required: Python 3+ years

• Meriting, not required: Pytorch and GDL.