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Quartz North Inc. in San Diego, CA is seeking a Data Scientist to join the team on a full-time basis. The role focuses on data analysis, statistical modeling, and delivering actionable insights to drive business decisions and innovation.
Qualifications include a Master's degree in a related field, proficiency in Python or R, SQL, and experience with data visualization tools such as Tableau or Power BI. Strong collaboration with cross-functional teams is essential to translate needs into data
Quartz North Inc. is currently seeking a Data Scientist to join their team in San Diego, California, where the individual will be responsible for full-time work. The primary role of the Data Scientist is to utilize data analysis and statistical methods to inform and drive business decisions and foster innovation within the company. This position requires a candidate with a strong background in data science, including proficiency in programming languages such as Python or R, and experience in data visualization tools like Tableau or Power BI. The successful candidate will be expected to work closely with cross-functional teams to understand business needs and translate them into actionable insights. Additionally, the Data Scientist will be responsible for developing and implementing data-driven solutions that can help the company gain a competitive edge in the market. The role offers a unique opportunity to work in a dynamic and innovative environment, contributing to the growth and success of Quartz North Inc.
The Data Scientist will develop and implement data models, analyze complex datasets, and provide actionable insights. You will also collaborate with cross-functional teams to deliver data-driven solutions.
The Data Scientist will work in a dynamic environment with a team of data professionals in San Diego, CA. The office is located in the tech hub of the city.
The salary is negotiable based on the candidate's experience and qualifications. Benefits include comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development through workshops, training programs, and access to industry conferences.
The candidate should have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning algorithms and data visualization tools is a plus.
The application process is open until the deadline of November 23, 2026.