Data Science and Analysis

Overview

A Data Scientist and Analyst leverages data to provide insights, support decision-making, and solve complex business problems. They collect, process, and analyze data, using advanced statistical methods, machine learning algorithms, and data visualization tools to extract valuable insights.

Responsible For

• • Collecting, processing, and analyzing large datasets to identify trends and patterns.
  • Designing and implementing machine learning models to predict outcomes and drive business decisions.
  • Communicating data findings and insights to stakeholders in a clear and actionable format.
  • Cleaning and transforming raw data into usable formats for analysis.
  • Collaborating with other teams, including business, engineering, and marketing, to define key metrics and objectives.
  • Developing data dashboards and visualizations for ongoing monitoring and reporting.
  • Conducting statistical analysis to support hypotheses and decision-making processes.

Specific Skills

Technical Skills:

• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or matplotlib.
• Strong understanding of statistical analysis and machine learning techniques.
• Familiarity with big data technologies such as Hadoop, Spark, or AWS.
• Experience with data wrangling and cleaning techniques.

Interpersonal Skills:

• Strong analytical and problem-solving abilities.
• Effective communication skills for translating technical data into actionable insights.
• Ability to collaborate across cross-functional teams and departments.
• Attention to detail and the ability to think critically.

Educational Requirements

Bachelor’s or Master’s Degree in:

• Data Science
• Computer Science
• Mathematics
• Statistics
• Engineering

Preferred:

• Certification in Data Science, Machine Learning, or related fields.