Data Scientist

Job Description Skill: Data Scientist

Must Have Technical/Functional Skills Programming Languages: Proficiency in Python or R, plus SQL for database querying.

Technical Skills

Machine learning, statistical modeling, data mining, and big data frameworks (e.g., Hadoop, Spark).

Data Visualization & Tools

Experience with tools like Tableau, Power BI, or Excel.

Soft Skills

• Strong analytical thinking, problem-solving, and the ability to tell a compelling story with data.
• [1, 2, 3, 4, 5, 6] Roles & Responsibilities Data Preparation & Cleaning: Spend a large portion of time (often 70% to 90%) gathering, cleaning, and transforming raw structured and unstructured data.
• [1] Exploratory Data Analysis (EDA): Identify trends, patterns, and correlations using statistical methods and visualization tools.
• [1] Model & Algorithm Development: Build, test, and validate machine learning models, statistical models, and predictive algorithms.
• [1, 2] Stakeholder Communication: Translate technical findings into clear charts, dashboards, and business recommendations for non-technical teams.
• [1, 2] Cross-Functional Collaboration: Partner with data engineers, product teams, and management to integrate models into production.
• [1, 2]

Location

Pittsburgh, PA

Function

TECHNOLOGY

Role

Data Scientist

Skills Data scientist

Salary Range

Desired Candidate Profile

Qualifications BACHELOR OF COMPUTER SCIENCE