About the role
We are looking for an experienced Data Scientist to join our Data Science department. In this role, you will work hands-on on advanced analytics and machine learning projects, leveraging large datasets to build impactful, production-ready solutions.
Ideal for someone who enjoys solving complex problems, building models end-to-end, and driving data-driven decision-making
The main responsibilities of the position include:
Design, develop, and review machine learning models and advanced analytics solutions
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders
Present insights, analysis results, and recommendations to both technical and non-technical audiences
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
Main requirements:
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University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
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At least 3 years of experience in data science, machine learning, or advanced analytics
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Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries
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Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly
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Strong knowledge and exposure to Machine Learning
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Knowledge of Recommendation Systems will be considered a plus
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Solid understanding of statistics and data mining techniques
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Experience working with relational and non-relational databases
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Strong analytical thinking, problem-solving ability, and attention to detail
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Excellent communication skills and the ability to work collaboratively in a team environment
Benefit from:
The Hiring Experience: What Awaits You
Tech stack
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