Note: The job is a remote job and is open to candidates in USA. Astra-North Infoteck Inc. is a company focused on addressing current challenges while aiming for future success. They are seeking a Data Scientist with expertise in Python, machine learning, and predictive modeling to develop and deploy data-driven solutions and predictive models.

Responsibilities

• 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
• 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
• 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
• 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)
• 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
• 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
• 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

Skills

• 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
• 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
• Proven experience in predictive modeling and forecasting
• Ability to build, validate, and deploy predictive models
• Strong understanding of Feature engineering and Model evaluation techniques (ROC, Precision/Recall, Cross-Validation)
• Experience working with real-world datasets to derive actionable insights
• 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)
• 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
• 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
• 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

Company Overview