[Remote] Data Scientist – Python, ML & Predictive Modeling
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