Data Scientist (Python), Stockholm

About the assignment:

- Location: Stockholm
- Duration: 5 months
- Start: TBD
- Apply: as soon as possible
- Extent: 100%
- Please note that the mandatory requirements have to be met in full in order for us to present your profile to our Customer.

Description

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.

Work tasks:

- Be involved in all stages of projects, from data exploration and building proof of concept to operationalization and handover to other teams.
- Proactively fetch information from various sources, create data sets and do analysis to better understand current business performance and processes.
- 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.
- Design, build, test and iterate proof of concepts, with clear focus on business value and with the desired end product in mind.
- Take part in researching and developing state-of-the-art methods which can make a big impact on the business.

Mandatory competence and experience:

- 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 experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation
- Python 3+ years

Preferred competence and experience:

- Pytorch and GDL.
- 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 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.

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How to proceed with the process

- Apply for the assignment through this ad.
- State your preferred hourly rate in the application.
- Upload your CV in word format.
- We will revert to you if we need further information or clarification regarding your application.
- The Customer usually reverts to us within 10 working days from the last application date. We aim to get back to you promptly with any new information regarding your application or the assignment. If you have not received any information from us within this time frame, please contact us through our platform.

You will be informed about the Customer should you be called to an interview.

About Shaya Solutions

Stockholm based consultancy and competence firm with focused on IT, Management and Technology.

We focus on customer / consultant satisfaction and quality in our services offered throughout Sweden.

Our core values are Humility, Perseverance and Flexibility.

Please do not hesitate to contact us if you have any questions.

We politely decline all contact from ad vendors. Many thanks!