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Roles and Responsibilities:
- Analyze structured and unstructured data to identify trends, patterns, and opportunities.
- Build, validate, and deploy machine learning models to solve business problems.
- Design and conduct A/B tests and other statistical analyses to support product and marketing initiatives.
- Collaborate with cross-functional teams including product, engineering, and business stakeholders to translate data insights into decisions.
- Develop dashboards and visualizations to communicate findings to technical and non-technical audiences.
- Automate data pipelines and workflows to improve data accessibility and quality.
- Stay current with the latest techniques in data science and machine learning.
Technical Skills:
- Proficiency in Python or R for data analysis and modeling.
- Knowledge of Time Series Analysis, Mathematical Optimization (LP/NLP/ILP),Python And Databricks is must.
- Strong SQL skills for data extraction and manipulation.
- Experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly, or Matplotlib).
- Experience with big data tools (e.g., Spark, Hadoop) is a plus.
- Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
Key Skills
Ranked by relevance
machine learning
data visualization
data analysis
tensorflow
power bi
big data
tableau
python
hadoop
cloud
spark
sql
aws
gcp
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- Posted
- Oct 07, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Sweden
- Company
- Ubique Systems
Industries
IT Services
IT Consulting
Categories
Information Technology
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