Data Scientist

Data Scientist

Data Scientist

Key Responsibilities:

• Data Collection & Preparation

• Gather structured and unstructured data from multiple sources.
• Clean, preprocess, and validate datasets for analysis.

• Exploratory Data Analysis (EDA)

• Identify patterns, trends, and anomalies in large datasets.
• Use statistical techniques to uncover hidden insights.

• Model Building & Evaluation

• Design and implement machine learning models for classification, regression, clustering, and recommendation systems.
• Evaluate model performance using metrics like accuracy, precision, recall, and AUC.

• Predictive Analytics

• Build forecasting models to support planning and decision-making.
• Apply statistical methods to predict future outcomes.

• Data Visualization

• Create dashboards and visual reports using tools like Tableau, Power BI, or Matplotlib.
• Present findings in a clear and compelling format for stakeholders.

• Automation & AI Integration

• Develop scripts and pipelines to automate data workflows.
• Integrate AI tools to enhance business processes.

• Cross-Functional Collaboration

• Work with product, marketing, and operations teams to apply insights.
• Translate technical findings into business strategies.

Required Skills & Qualifications:

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field.
• Proficiency in Python, R, SQL, and data manipulation libraries (e.g., Pandas, NumPy).
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistics, probability, and linear algebra.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).

Preferred Attributes:

• Excellent problem-solving and analytical thinking.
• Strong communication skills for presenting data-driven insights.
• Passion for continuous learning and staying updated with emerging technologies.