Data Engineer (Data Science and AI) [REMOTE] Position Available In Okaloosa, Florida

• Job Description
• We are seeking a highly skilled BI Developer with expertise in Artificial Intelligence (AI) and Data Science to join our team.
• The successful candidate will be responsible for designing, developing, and deploying data visualizations and business intelligence solutions using Modern BI tools while leveraging AI and machine learning techniques to drive insights and decision-making.

_If you have a passion for data analysis, AI, and data visualization, and are looking for a challenging and rewarding role, we encourage you to apply._

• Key Responsibilities:

• + Design, develop, and deploy data visualizations and business intelligence solutions using Power BI, Tableau or other tools.

+ Work with stakeholders to understand business requirements and develop solutions that meet their needs + Leverage AI and machine learning techniques to analyze and visualize complex data sets + Collaborate with data scientists and analysts to integrate AI and machine learning models into Power BI solutions + Develop and maintain data pipelines and architectures to support data visualization and business intelligence solutions + Ensure data quality, security, and compliance with organizational standards and policies + Stay up-to-date with emerging trends and technologies in AI, data science, and data visualization

• Required Education, Experience, & Skills
• + 3 years of experience in BI development, with a focus on data visualization and business intelligence + 2 years of experience in AI and data science, with a focus on machine learning and data analysis + Strong understanding of data modeling, data warehousing, and ETL processes + Experience with Power BI tools, including Power BI Desktop, Power BI Service, and Power BI Embedded + Proficiency in programming languages, such as Python, R, or SQL + Strong proficiency in SQL and database design principles + Experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch + Strong understanding of data visualization principles and best practices + Excellent communication and collaboration skills, with the ability to work with stakeholders and technical teams + Bachelor’s degree in Computer Science, Data Science, or a related field 4 years work experience •Preferred Education, Experience, & Skills•+ Experience with data engineering, data warehousing, and ETL processes.

+ Knowledge of cloud-based data platforms, such as AWS or Azure + Experience with data governance and data quality frameworks + Certification in Power BI, AI, or data science, such as

Microsoft Certified:

Data Analyst Associate or Certified Data Scientist

• Pay Information

•

Full-Time Salary Range:

$77814 – $132283 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits:

At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

• Data Engineer (Data Science and AI) [REMOTE]
• 113591BR
• EEO Career Site Equal Opportunity Employer.

Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression