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Data Scientist – Python, ML & Predictive Modeling
Job Location:
Monthly Salary:
Experience Required:
Posted:
3 July 2026 (30+ days ago)
Posted:
Application Deadline:
30 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Scientist Python ML & Predictive Modeling
Duration: 12 months
Work Model: 100% Remote
Programming & Tools
- Strong proficiency in Python (NumPy Pandas Scikit-learn TensorFlow/PyTorch).
- Working knowledge of statistical analysis and modeling.
- Experience with Jupyter Notebooks RStudio and data visualization tools.
- Familiarity with SQL and data querying.
Machine Learning & AI
- Solid understanding of supervised and unsupervised machine learning algorithms.
- Hands-on experience with:
- Regression (Linear Logistic)
- Classification (Decision Trees Random Forests SVM)
- Clustering (K-Means Hierarchical)
- Regression (Linear Logistic)
- Experience with deep learning frameworks such as TensorFlow and PyTorch is a plus.
Predictive Modeling
- Proven experience in predictive modeling and forecasting.
- Ability to build validate and deploy predictive models.
- Strong understanding of:
- Feature engineering
- Model evaluation techniques (ROC Precision/Recall Cross-Validation)
- Feature engineering
- Experience working with real-world datasets to derive actionable insights.
Statistics & Data Analysis
- Strong foundation in statistics and probability.
- Experience with hypothesis testing regression analysis and statistical modeling.
- Proficiency in data cleaning transformation and exploratory data analysis (EDA).
Data & Deployment (Preferred)
- Experience with cloud platforms such as AWS Azure or GCP.
- Familiarity with Docker and containerization is a plus.
- Exposure to MLOps practices and CI/CD for machine learning models.
Soft Skills
- Strong analytical and problem-solving skills.
- Ability to translate business problems into data-driven solutions.
- Effective communication and storytelling with data.
- Collaborative mindset with cross-functional teams.
Nice-to-Have
- Experience with big data technologies such as Spark and Hadoop.
- Exposure to NLP computer vision or time-series forecasting.
- Knowledge of model deployment APIs such as Flask and FastAPI.
Required Skills:
Sailpoint
