Job Description

A Data Scientist is responsible for analyzing complex data sets to extract actionable insights that drive business strategy and decision-making. This role combines statistical expertise, programming skills, and domain knowledge to solve real-world problems.

Key Responsibilities

Data Collection & Preparation:

Gather, clean, and preprocess structured and unstructured data from various sources.

Exploratory Data Analysis:

Perform statistical analysis to identify trends, patterns, and anomalies.

Model Development:

Build, test, and deploy predictive models and machine learning algorithms.

Data Visualization:

Create clear, compelling visualizations to communicate findings to stakeholders.

Collaboration:

Work with cross-functional teams (e.g., engineering, product, marketing) to integrate insights into business strategies.

Continuous Improvement:

Stay updated on the latest tools, techniques, and best practices in data science.

Required Qualifications & Skills

Education:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Technical Skills:

Proficiency in programming languages such as Python or R. Experience with data manipulation libraries (e.g., Pandas, NumPy). Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL and database management.

Analytical Skills:

Strong statistical analysis and problem-solving abilities.

Communication:

Excellent ability to translate complex data insights into actionable recommendations.

Experience:

Prior work experience in data-driven environments is preferred.
Data Scraping Specialist

Overview

A Data Scraping Specialist focuses on extracting large volumes of data from web sources using automated tools and scripts. This role is essential for gathering the raw data needed for analysis, market research, or feeding machine learning models.

Key Responsibilities

Web Data Extraction:

Develop and maintain scripts (using tools like Python, BeautifulSoup, Scrapy, or Selenium) to extract data from websites.

Data Cleaning & Structuring:

Transform raw scraped data into structured formats for analysis.

Tool Optimization:

Improve scraping efficiency by refining code and leveraging APIs where possible.

Monitoring & Maintenance:

Regularly update scripts to accommodate changes in website structures and ensure continued data accuracy.

Compliance & Ethics:

Ensure all data collection activities adhere to legal guidelines, website terms of service, and ethical standards.

Collaboration:

Work with data scientists and analysts to provide the necessary data for business insights.

Required Qualifications & Skills

Education:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Technical Skills:

Strong programming skills, particularly in Python. Experience with web scraping libraries (e.g., BeautifulSoup, Scrapy, Selenium). Familiarity with HTML, CSS, and JavaScript for navigating web content. Knowledge of APIs and data parsing techniques.

Problem-Solving:

Ability to troubleshoot and resolve issues related to data extraction and website changes.

Attention to Detail:

Precision in handling data formats and ensuring data quality.

Compliance Awareness:

Understanding of legal and ethical issues in data scraping.
Job Types: Full-time, Part-time, Permanent, Temporary, Contract