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About the Organisation
Proxify is a global talent network dedicated to connecting highly skilled developers and data experts with top companies around the world. With a mission to prove that talent has no borders, Proxify has successfully helped over 5,000 developers secure meaningful careers while supporting more than 1,200 clients in building cutting-edge products. Proxify offers long-term, remote-first opportunities and is trusted globally, reflected in its Glassdoor rating of 4.5/5 and Trustpilot score of 4.8/5.
Senior Data Scientist job at Proxify AB | Apply Now
Are you looking for IT remote jobs 2025 today? then you might be interested in Senior Data Scientist job at Proxify AB
Full Time
Deadline:
11 Oct 2025
Job Title
Senior Data Scientist job at Proxify AB
Proxify AB
Job Description
As a Senior Data Scientist, you will play a critical role in analyzing data streams and static datasets to design algorithms, build predictive models, and deliver actionable insights. You will translate business challenges into data science applications, communicate solutions clearly, and contribute to large-scale software systems and evolving data architectures. This position requires strong technical proficiency with programming, analytics, and BI tools, as well as excellent stakeholder management skills. The role is based remotely, but candidates must be located within CET timezone ± 3 hours.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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How to Apply
Develop tools to process and analyze both streaming and static datasets.
Translate business challenges into practical data science solutions.
Communicate complex solutions in clear, understandable terms for non-experts.
Design algorithms, build models, and create prototypes across business areas.
Contribute to the development and maintenance of software solutions and large-scale applications.
Support evolving data architectures and systems.
Combine multiple data sources to solve business problems and deliver actionable insights.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
5+ years of hands-on experience in Data Science.
Proficiency in SAS, SQL, R, and/or Python.
Experience with BI tools such as Qlik, Tableau, or Power BI.
Strong stakeholder management and presentation skills (including PowerPoint).
Exposure to Big Data technologies (Hadoop, Spark, Hive) is an advantage.
Applied knowledge of machine learning and data science techniques.
Hands-on experience in data mining and model building.
Strong communication skills in English (both technical and non-technical contexts).
Must be located in CET timezone ± 3 hours.
