Data Scientist

Location: Pittsburgh, PA (Onsite)

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.

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