Senior Data Science Analyst
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Job Description
Senior Data Analyst at Valid driving analytical solutions for business and product decisions. Collaborating across teams to develop data-driven insights and implement machine learning models.
Responsibilities:
- Work closely with Product teams to define and evolve data-driven features
- Develop analyses and Machine Learning models applied to product use cases (e.g., recommendation, personalization, churn)
- Design and run experiments and A/B tests to validate hypotheses and measure product impact
- Define and monitor product metrics and model performance
- Support roadmap decisions with actionable insights
- Ensure integration, monitoring, and continuous improvement of models in production
Requirements:
- Strong experience with Python for analysis and modeling (pandas, NumPy, scikit-learn, statsmodels)
- Solid foundation in applied statistics and probability
- Hands-on experience with supervised and unsupervised Machine Learning algorithms
- Proficiency in SQL for data exploration, transformation, and validation
- Experience with analytical development environments (Jupyter Notebook, VS Code, or similar)
- Experience with Deep Learning libraries or frameworks (TensorFlow, PyTorch, or Keras)
- Knowledge of MLOps (model monitoring, retraining, versioning, CI/CD for data)
- Experience with cloud data environments (AWS, GCP, or Azure)
- Familiarity with distributed processing tools (Spark)
- Experience with orchestration and data pipelines (Airflow or similar)
Benefits:
- Equal opportunities
- Safe, respectful, and welcoming environment
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