Data Scientist

Key Responsibilities:

Data Collection and Processing:

Gather and clean large datasets from various sources to prepare for analysis.
Ensure data quality and consistency, handling missing or corrupt data.
Data Analysis and Exploration:

Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in data.
Generate insights from data through descriptive and inferential statistics.
Model Development and Deployment:

Develop predictive models using machine learning algorithms such as regression, classification, clustering, and more.
Optimize model performance and deploy models into production environments.
Data Visualization and Reporting:

Create clear, compelling data visualizations and reports to communicate findings to non-technical stakeholders.
Use tools like Tableau, Power BI, or custom dashboards to make data insights accessible.
Collaboration and Communication:

Work closely with data engineers, analysts, and business teams to understand project requirements and deliver solutions.
Present findings and provide recommendations to influence business decisions.
Qualifications:

Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
Experience: 2+ years in a data science role, with proven experience in data analysis, machine learning, and statistical modeling.
Technical Skills:
Proficiency in programming languages such as Python, R, or SQL.
Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch.
Strong understanding of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (e.g., Hadoop, Spark) is a plus