Senior Data Scientist, Stockholm

About the assignment:

- Location: Stockholm
- Duration: 6 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

The client is now looking for a Senior Data Scientist to bring in new competence to its new organization Business Tech. As a Senior Data Scientist you will work in collaboration with the client's business and engineering people both within your team and supporting teams, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.

Work tasks:

- Pairing with Machine Learning Engineers and Software developers, develop machine learning software product including but not limited to exploring large data sets, trying out new algorithms, feature engineering, testing and evaluating model outputs, deploying the solutions for production usage.
- Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
- Combine, explore and draw insights from data. Often large and complex data assets from different parts of the business.
- Develop tools and framework to address common needs in machine learning project like model traceability, feature reuse, A/B testing, etc.
- Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem.


Mandatory competence and experience:

- Have a degree within applied mathematics, statistics, physics or engineering or similar field (e.g. machine learning) and a strong will to continuously develop your skillset
- You have the ability to understand business requirements and generate insights and you have strong communication skills, orally and in writing
- Have 5+ years working experience in data science
- Are able to independently implement algorithms and models to production with at least one programming language with support from our machine learning engineers.
- Have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentation


Preferred competence and experience:

- Experience in working with production level machine learning systems
- Experience in working optimization problems and knowledge of optimization libraries and solvers
- Experience in Spark and distributed computing


Preferred personal qualities:

You are a hands-on person and a problem solver, you thrive in solving practical business problems with data and machine learning models

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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!