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Remote Predictive Modeling Jobs in Alabama (NOW HIRING)

Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

Remote Predictive Modeling information

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Alabama? For Remote Predictive Modeling jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Alabama look for? The top searched job categories for Remote Predictive Modeling jobs in Alabama are:
What cities in Alabama are hiring for Remote Predictive Modeling jobs? Cities in Alabama with the most Remote Predictive Modeling job openings:

Software Developer, Power BI/ Vantage

QBE LLC (Federal)

Huntsville, AL โ€ข On-site, Remote

Other

Re-posted 25 days ago


Job description

Description

This position requires an ACTIVE security clearance.

This position can be performed remote from anywhere, but may require up to 15% travel.


As a Power BI / Vantage Software Developer you will deliver advanced data analytics, data visualization, and reporting/dashboarding solutions in support of the U.S. Army's energy and water use metering program. The total solution is considered a system-of-systems with developed applications integrating with the Army enterprise cloud and data environment. You will work closely with cross-functional teams to ensure seamless integration and optimal performance. ย 


Key Responsibilities

  • Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions.
  • Design, develop, and maintain interactive dashboards and reports using Power BI and Vantage Software to support program performance, cost, and readiness reporting.
  • Develop and maintain ETL/ELT processes to ensure accurate and timely data delivery.
  • Ensure data quality, consistency, and governance across reporting solutions.
  • Integrate Power BI solutions with other enterprise systems and APIs as needed.
  • Optimize performance of large-scale datasets and ensure efficient query execution.
  • Collaborate with program managers, analysts, and government stakeholders to define reporting requirements and key performance indicators (KPIs)
  • Build and optimize data models for efficiency, scalability, and compliance with DoD standards
  • Implement robust data security, role-based access controls, and ensure compliance with DoD cybersecurity policies (e.g., RMF, NIST)
  • Troubleshoot, maintain, and enhance existing BI tools to meet evolving contract requirements
  • Stay current with DoD data governance policies, analytics trends, and best practices.

#qf

#qg

Requirements

REQUIRED QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or related experience).
  • Proven experience developing with Power BI and Vantage Software in a DoD or government contracting environment.
  • Strong hands-on experience with Power BI development and data modeling (DAX, Power Query, ย ย ย ย ย data modeling, measures).
  • Knowledge of ETL processes, data warehousing, and DoD data standards.
  • Security+ Certification
  • Active US Government Clearance at Secret level or higher
  • Effective written and verbal communications skills for collaboration with both customers and fellow team members.
  • Ability to sit for extended periods of time.
  • Ability to regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location as required.

Preferred Qualifications

  • Advanced degree in Computer Science, Information Technology, or a related field.
  • Experience with Azure Government Cloud, SSRS/SSAS, or similar BI technologies.
  • Experience with data governance, security, and compliance frameworks.
  • Exposure to Python, R, or scripting languages for data automation.
  • Background in advanced analytics, predictive modeling, or machine learning.

QBE is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, gender-identity and/or expression, age, disability, Veteran status, genetic information, pregnancy (including childbirth, lactation, or other related medical conditions), marital-status, neurodivergence, ethnicity, ancestry, caste, military/uniformed service-member status, or any other characteristic protected by applicable federal, state, local, or international law.