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Data Scientist – Python, ML & Predictive Modeling

Actively Reviewing

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

4–8 yrs exp Posted 1 day ago · Apply by Sep 14, 2026

Job Description

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)
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)
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

Machine Learning Deep Learning Feature engineering Time Series Jupyter Notebooks Adobe Illustrator Data Analysis PyTorch Python TensorFlow SQL AWS Docker CI/CD NLP Flask FastAPI