Michael Page

Data Scientist - 100% remote

Job description

Automating the data collection process and identifying valuable data.

Perform extensive data validation/quality assurance analysis within large datasets.

Build proactive data validation automation to catch data integrity issue.

Analyze and train models for our business and digital twin representations.

Strong ability to troubleshoot and resolve data issues.

Optimize and enhance data architecture depending on future needs.

Designing and constructing new processes/tools to monitor and analyze model performance and improve data accuracy.

Act as a communication link between the business development and engineering team.

International company from FMCG sector|New IT Hub development in Poland

Master's degree in Math, Statistics, Computer Science, Engineering or Physics.

3 + years of experience in identifying, cleansing and analyzing big data.

3 + years of experience in Python.

2 + years in R.

Enthusiastic data scientist with a solid data science background.

Nice to have:
Demonstrated skills in large scale data manipulation, machine learning, and mining/pattern recognition.

Experience in image processing and computer vision.

Ability to handle multiple projects within a given timeframe.

Experience with tools such as Hadoop/Hive, Alteryx, Tableau, Spark, Caffe or other deep-learning libraries.

Strong programming skills - experience in R, Python, Java, MATLAB/Octave.

Experience writing SQL/TSQL, views, stored procedures, functions and triggers.

Our Client is an international company from FMCG sector. For their new IT Hub based in Poznań, we are looking for Data Scientist.

Attractive salary.

Working in a large, well-known company with a recognized position in the market.

Induction and training for work as well as opportunity for professional development.

Private medical care package.

Opportunity to join a group insurance.

Rich social package for each employee.

100% remote work

As a Data Scientist, you will be responsible for collecting, processing and analyzing data, compiling it and storing it in databases.

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