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2 weeks ago
A Data Scientist with expertise in collecting, cleaning, and preprocessing large datasets from various sources. You will identify trends, patterns, and anomalies to inform business decisions and drive strategy.
Your Key Responsibilities:- Collect, clean, and preprocess data from multiple sources
- Identify and correct data inconsistencies, handle missing values, and ensure data quality
- Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies
- Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques
- Tune model parameters to maximize accuracy and efficiency
- Create meaningful features to improve model performance
- Translate data findings into actionable business recommendations
- Create detailed reports and presentations to communicate results to stakeholders
- Build interactive dashboards or visualizations for real-time data interpretation
- Implement ML models into production systems
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field
- Understanding of data engineering practices and data architecture
- Familiarity with version control systems (e.g., Git)
- Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying
- Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries)
- Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing)
- Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure)
- Proficiency in English (both written and spoken)
- Join an innovative team in an exciting growth phase
- Independence and autonomy in shaping your work
- Location: on-site, hybrid, or remote
- Relocation package to move to the area
- State-of-the-art hardware and software
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