Data Scientist

This is a remote position.

Data Collection & Cleaning

• Gather data from databases, APIs, logs, or external sources
  

• Clean, structure, and pre process raw data (handle missing values, outliers)
  

2. Data Analysis & Exploration

• Perform exploratory data analysis (EDA) to find patterns and trends
  

• Use statistical techniques to interpret data
  

3. Model Building & Machine Learning

• Develop predictive models using techniques like regression, classification, clustering
  

• Train, test, and tune machine learning models
  

4. Data Visualization & Communication

• Create dashboards, charts, and reports (e.g., using tools like Tableau or Python libraries)
  

• Explain insights to non-technical stakeholders clearly
  

5. Deployment & Monitoring

• Deploy models into production environments
  

• Monitor performance and retrain models when needed
  

6. Collaboration

• Work with engineers, analysts, and business teams
  

• Translate business problems into data-driven solutions
  

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science or related field

Technical Skills

• 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)

Machine Learning Knowledge

• Supervised & unsupervised learning
  

• Feature engineering
  

• Model evaluation metrics
  

Tools & Platforms

• Cloud platforms: AWS, Azure, or GCP
  

• Version control: Git
  

Soft Skills

• Problem-solving mindset
  

• Communication and storytelling