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Senior Data Analyst Machine Learning Jobs in Alabama

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming ...

New

Cape Fox Corporation

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

Job Title Senior Data Analyst Cape Fox subsidiary, Cape Fox Federal Integrators, LLC (CFFI) is ... Apply data mining, statistical modeling, machine learning, forecasting, and visualization ...

Cape Fox SS

Senior Data Analyst

Huntsville, AL · On-site

$115K - $149K/yr

... machine learning, forecasting, and visualization techniques to support informed decision-making Use tools such as Tableau, Power BI, and comparable analytics platforms to communicate supply chain ...

The Lockwood Group

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

The Senior Data Analyst will work at Redstone Arsenal and be the lead for Data Analytics and ... Machine learning * Tableau or Power BI If selected, you will be included as key personnel in a ...

The Lockwood Group

Senior Data Analyst

Huntsville, AL

$89K - $112K/yr

The Senior Data Analyst will work at Redstone Arsenal and be the lead for Data Analytics and ... Machine learning * Tableau or Power BI If selected, you will be included as key personnel in a ...

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... The ideal candidate will leverage advanced statistical analysis, machine learning, and data ...

Leidos

Sr. Data Analyst

Huntsville, AL · On-site

$107K - $195K/yr

... talented Sr. Data Analyst to function full-time within the Advanced Sensors and Protective ... Experience with evaluating or developing machine learning solutions. * Knowledge of statistical ...

Leidos

Sr. Data Analyst

Huntsville, AL · On-site

$107K - $195K/yr

... talented Sr. Data Analyst to function full-time within the Advanced Sensors and Protective ... Experience with evaluating or developing machine learning solutions. * Knowledge of statistical ...

Shipt

Senior Data Scientist I

Birmingham, AL · On-site

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments ...

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Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Alabama?

For Senior Data Analyst Machine Learning jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Alabama look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Alabama are:

What cities in Alabama are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Alabama with the most Senior Data Analyst Machine Learning job openings:

Senior Data Analyst Machine Learning jobs near you

Senior Data Analyst

Prolog Inc.

Huntsville, AL • On-site

$89K - $112K/yr

Full-time

Posted 3 days ago

New

Job description

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation and Missile Command (AMCOM) Logistics Center (ALC) Supply Chain Management Directorate (SCMD) at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming raw Army logistics data into advanced descriptive, predictive, and prescriptive models that optimize supply availability, reduce pipeline cycle times, and support AI-driven decision-making for defense supply chain leadership.

Key Responsibilities
  • Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD.
  • Design, build, and deploy advanced analytical models to forecast supply demand, asset failure rates, repair turnaround times, and inventory requirements.
  • Develop interactive business intelligence dashboards, executive visualizations, and reporting tools using Power BI, Tableau, and custom analytics software.
  • Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources.
  • Apply statistical techniques, regression analysis, machine learning algorithms, and operations research methodologies to solve complex supply chain challenges.
  • Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance IAW contract AQL standards (<3% error rate, >95% turnaround).
  • Collaborate with Senior Logistics Analysts to translate operational supply chain queries into mathematical models and data science solutions.
  • Evaluate supply chain risk factors, readiness impacts, and mitigation strategies using predictive data simulation.
  • Automate recurring data extraction, reporting processes, and performance metric tracking to enhance analytical efficiency.
  • Develop technical documentation, statistical reports, trend analysis products (CDRL A009), and briefing decks for military and civilian executives.
  • Provide technical direction, code review, mentorship, and guidance to junior program/data analysts.
  • Ensure data handling complies with DoD cybersecurity directives, CUI protocols, AR 25-2, and Army information assurance standards.
  • Coordinate with internal software developers to integrate analytical algorithms into custom web applications and decision-support tools.
  • Participate in technical working groups, Army AI/ML initiatives, and enterprise data architecture discussions.
Required Qualifications
  • Bachelor's degree in Data Science, Operations Research, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7 or more years of professional experience in data analytics, data science, or statistical modeling.
  • 3 or more years of experience applying data analytics within a supply chain, logistics, or defense operational environment.
  • Demonstrated expertise in data mining, statistical analysis, predictive modeling, and machine learning techniques.
  • Advanced proficiency with visualization tools (Power BI, Tableau) and quantitative programming tools (Python, R, SQL).
  • Strong capability to communicate complex mathematical and analytical findings to non-technical executive stakeholders.
  • Ability to mentor and provide technical oversight to supporting junior data analysts.
  • Must possess or be eligible to obtain and maintain a SECRET security clearance eligibility.
Preferred Experience
  • Direct experience analyzing Army aviation, missile, or defense supply chain data structures.
  • Familiarity with Army enterprise data platforms (LMP, Vantage, AESIP, GCSS-Army).
  • Experience developing artificial intelligence (AI) or machine learning (ML) solutions for demand planning or inventory optimization.
  • Knowledge of big data technologies, cloud data environments (GCC High), and SQL database architectures.
  • Experience supporting defense acquisition metrics, readiness reporting, and executive decision-support.
  • Current SECRET security clearance eligibility.