Data Scientist: Predictive Modeling & Cross-Team Impact

Quartz Global; Phoenix (AZ); On-site; USD 95,000 - 135,000; Full time

Job summary

Quartz Global in Phoenix, AZ seeks a Data Scientist to drive data-driven business decisions and innovation. The role offers a salary range of $95,000 to $134,705 and a path for professional growth within a collaborative team of data scientists and engineers in Phoenix.

The ideal candidate will have a Master’s or higher in a related field, strong skills in Python, R, SQL, and experience with ML frameworks, plus experience with data visualization tools.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in data science or a related field.
• Strong programming skills in Python and R.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of machine learning frameworks like TensorFlow or PyTorch.
• Excellent problem-solving and analytical skills.

Responsibilities

• Develop and implement data-driven solutions to address complex business challenges.
• Analyze large datasets to identify trends, patterns, and insights.
• Create predictive models and machine learning algorithms to enhance business operations.
• Collaborate with cross-functional teams to integrate data science projects into overall business strategy.
• Communicate findings and recommendations to both technical and non-technical stakeholders.
• Continuously improve data science processes and methodologies.

Skills

Python

R

SQL

Education

Bachelor's degree in CS/Statistics/Math

Tools

Tableau

Power BI

TensorFlow

PyTorch

Job description

Quartz Global in Phoenix, AZ seeks a Data Scientist to drive data-driven business decisions and innovation. The role offers a salary range of $95,000 to $134,705 and a path for professional growth within a collaborative team of data scientists and engineers in Phoenix.

The ideal candidate will have a Master’s or higher in a related field, strong skills in Python, R, SQL, and experience with ML frameworks, plus experience with data visualization tools.