Data Scientist

Phoenix Staff, Inc.


Date: 1 day ago
City: Tempe, AZ
Salary: $60 - $80 per hour
Contract type: Full time

Job Title: Data Scientist

Job Type: Hybrid onsite (Tempe, AZ)

1 year contract


Position Overview & Key Responsibilities
We're seeking a Data Scientist to help uncover insights and drive decisions by leveraging a rich history of observational data. This role involves developing descriptive, predictive, and prescriptive models, along with coding in Python, to extract maximum value from both existing and historical data sources.

  • Gather and integrate data from various internal systems and external APIs, preparing it for use in reporting, analytics, optimization, and modeling.
  • Assist in building data pipelines by developing scripts for data transformation and modeling.
  • Apply analytical thinking and quantitative methods to solve complex data challenges by combining technical, statistical, and problem-solving expertise.
  • Leverage advanced knowledge of machine learning, statistics, simulation, optimization, clustering, classification, and recommendation systems.
  • Work with high-volume, multi-dimensional data sets using diverse tools and platforms.
  • Present analytical findings to stakeholders clearly and implement iterative improvements to outputs, models, and visualizations.
  • Design and refine processes for large-scale data analysis, model development, testing, and deployment.
  • Stay informed on industry trends and innovations in data science, evaluating the effectiveness of new tools, data sources, and methodologies.

Required Qualifications

  • Familiarity with Agile and Scrum development practices.
  • Proficiency with Python, SQL, Excel, PowerPoint, and SharePoint.
  • Experience working in Azure DevOps environments.
  • Background in handling and analyzing large datasets.
  • Skilled in using BI tools such as Power BI to explore and present data.
  • Ability to simplify and visualize complex datasets for clear business insight.
  • Strong critical thinking and problem-solving capabilities.
  • Clear and effective communicator.
  • Experience with data governance and data handling tools.
  • Understanding of machine learning algorithms and applications.
  • Knowledge of collaborative coding practices, including version control with Git.
  • Detail-oriented mindset with a commitment to accuracy.

Preferred Qualifications

  • Hands-on experience with platforms like Snowflake and Dataiku.
  • Master's degree in Data Science or a related field such as computer science, statistics, mathematics, social sciences, or engineering.
  • At least 3 years of professional, non-academic experience in a data-focused role.

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