Senior Data Scientist - Ranking Team

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Work Location: New York - Remote

Your Location: San Francisco, California; Chicago, Illinois; Denver, Colorado; Texas, United States; Seattle, Washington; Salt Lake City, Utah

Salary Range

NYC Metro Area 147,000 - 213,000 USD per year

Your Job

We’re looking for a Data Scientist to join our growing team here at Indeed. The Ranking team focuses on leveraging our understanding of jobs + Job seekers, and our scale. The team’s mission is to match every jobseeker find the most relevant jobs in their job search. We work hard to ensure each personalized search brings the most relevant and attainable search results for every jobseeker.

Responsibilities:

• Conceptualize, analyze, build, test, and implement models that utilize various and diverse data sets to solve problems related to the employment and recruiting industries
• Build and implement machine learning models, testing frameworks, and visualizations to make timely decisions and influence the product roadmap
• Proactively research data and identify opportunities in the data to drive the product roadmap
• Evaluate data’s big picture to solve business problems rather than focusing on metrics alone
• Understand human behavior and know what to look for in the data
• Communicate concisely and persuasively with engineers and product marketers. Helps identify ways to improve data quality and analysis. Utilizes a solid understanding of Indeed’s business fundamentals.

Who You Are

• Bachelor’s or foreign equivalent degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, Quantitative Methods, Cognitive Science, or a closely related quantitative field
• 7+ years experience in Data Science, Business Analytics, or Data Analysis
• Demonstrated ability with the following skills required: Small data modeling using: Python, R, Julia, or Octave; big data modeling using: Hadoop, Pig, Scala, or Spark; data mining using: SQL, Pandas, or MongoDB; and production Development of data science solutions using: Java, Python, or C++