This is a remote position.
A Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to help organizations make data-driven decisions. They will use statistical methods, programming, and machine learning techniques to uncover insights and build predictive models.
Gather data from databases, APIs, logs, or external sources
Clean, structure, and pre process raw data (handle missing values, outliers)
Perform exploratory data analysis (EDA) to find patterns and trends
Use statistical techniques to interpret data
Develop predictive models using techniques like regression, classification, clustering
Train, test, and tune machine learning models
Create dashboards, charts, and reports (e.g., using tools like Tableau or Python libraries)
Explain insights to non-technical stakeholders clearly
Deploy models into production environments
Monitor performance and retrain models when needed
Work with engineers, analysts, and business teams
Translate business problems into data-driven solutions
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science or related field
Programming: Python, R, or SQL
Libraries: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch
Data visualization: Matplotlib, Seaborn, Power BI, Tableau
Big data tools (optional but valuable): Spark, Hadoop
Strong understanding of Statistics & probability, Hypothesis testing, Experimental design (A/B testing)
Supervised & unsupervised learning
Feature engineering
Model evaluation metrics
Cloud platforms: AWS, Azure, or GCP
Version control: Git
Problem-solving mindset
Communication and storytelling
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