Data Scientist - Phoenix Staff : Job Details

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Join to apply for the Data Scientist role at Phoenix Staff, Inc.

This range is provided by Phoenix Staff, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $80.00/hr

Job Title: Data Scientist

Job Type: Hybrid onsite (Tempe, AZ)1 year contract

Position Overview & Key ResponsibilitiesWe'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.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesComputer and Network Security

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