Data Scientist — Drive Insights & Growth

Aiken House; Pittsburgh (Allegheny County); Vor Ort; USD 100.000 - 135.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Zusammenfassung

Aiken House in Pittsburgh is seeking a data scientist to turn raw information into actionable insights. You will collect, preprocess, and analyze data, building models to address client challenges across industries and presenting findings to stakeholders.

You'll work with engineering, marketing, and management teams to translate data into business impact, using tools like Python, SQL, and Tableau in a fast-growing environment.

Qualifikationen

• BS/BA in CS or Engineering; quantitative master's preferred
• Proven experience as Data Scientist or Data Analyst
• Experience in data mining
• Understanding of ML and operations research
• Proficiency in R, SQL, Python; Scala/Java/C++ a plus
• Experience using BI tools (Tableau) and data frameworks (Hadoop)
• Analytical mind and business acumen
• Strong problem-solving and communication skills

Aufgaben

• Identify valuable data sources and automate collection processes
• Preprocess structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Work closely with engineering, marketing, and management teams

Kenntnisse

Data science

Data mining

Machine learning

R

SQL

Python

Tableau

Hadoop

Communication

Problem-solving

Ausbildung

BS/BA in CS or Engineering

Graduate degree in Data Science or quantitative field (preferred)

Tools

R

SQL

Python

Scala

Java

C++

Tableau

Hadoop

Jobbeschreibung

Aiken House in Pittsburgh is seeking a data scientist to turn raw information into actionable insights. You will collect, preprocess, and analyze data, building models to address client challenges across industries and presenting findings to stakeholders.

You'll work with engineering, marketing, and management teams to translate data into business impact, using tools like Python, SQL, and Tableau in a fast-growing environment.