Data Scientist
Data Scientist
Posted on :
08-06-2025
Employer Active
1 Vacancy
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Job Description
Job Description
Job Title: Data Scientist
Job Type: Hybrid onsite (Gilbert AZ)
1 year contract
Position Overview & Key Responsibilities
Were 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.
- Masters 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.
Employment Type
Full-Time
Key Skills
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