1

Senior Data Analyst Machine Learning Jobs in Alabama

Senior Data Analyst

Huntsville, AL ยท On-site

$84K - $106K/yr

We have an outstanding Contract to Hire position for a Senior Data Analyst to join a leading Company located in the Huntsville, AL surrounding area. **US Citizenship is required.** **Candidate must ...

Senior Data Analyst

Huntsville, AL ยท On-site

$64.90 - $72.11/hr

We have an outstanding Contract to Hire position for a Senior Data Analyst to join a leading Company located in the Huntsville, AL surrounding area. **US Citizenship is required.** **Candidate must ...

Senior Data Analyst

Huntsville, AL ยท On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Have experience advising senior DoD decision makers on methodologies, results, and conclusions from ...

Senior Data Analyst

Huntsville, AL ยท On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Have experience advising senior DoD decision makers on methodologies, results, and conclusions from ...

Showing results 21-40

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 with Security Clearance

PingWind Inc.

Huntsville, AL โ€ข On-site

$99K - $138K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Location: Redstone Arsenal - Huntsville, AL
Required Clearance: Secret
Certifications: None
Required Education: Bachelor's degree in Data Science, Data Analytics, Operations Research, Statistics, Mathematics, Computer Science, Business Analytics, or a closely related quantitative field.
Required Experience: Minimum of seven (7) years of professional experience in data analytics, data science, statistical analysis, operations research, or a related analytical discipline.Minimum of three (3) years of experience performing analytics in a supply chain, logistics, inventory, transportation, or related operational environment. PingWind is seeking a Senior Data Analyst to serve as the lead for Data Analytics and Modeling. The Senior Data Analyst is responsible for leading advanced data analysis, statistical modeling, predictive analytics, and business intelligence activities supporting supply chain and logistics operations.
This position oversees the development of descriptive and predictive analytical products, transforms complex operational data into actionable insights, and provides analytical recommendations to support Government decision-making, operational efficiency, and continuous process improvement. The Senior Data Analyst also provides technical leadership, quality oversight, and mentoring to junior data analysts. Primary Responsibilities Typical Responsibilities/Tasks: โ€ข Serve as the technical lead for data analytics, statistical analysis, and predictive modeling activities.
โ€ข Lead the development and delivery of descriptive, diagnostic, and predictive analytical products.
โ€ข Analyze large and complex datasets to identify trends, patterns, relationships, anomalies, risks, and opportunities for operational improvement.
โ€ข Perform data mining and exploratory data analysis to identify meaningful information from structured and unstructured data sources.
โ€ข Develop and apply statistical models, predictive models, and machine learning techniques to support forecasting and operational decision-making.
โ€ข Analyze supply chain and logistics data to evaluate performance, identify inefficiencies, and recommend data-driven improvements.
โ€ข Develop analytical models supporting areas such as inventory management, demand forecasting, transportation, supply chain performance, resource planning, and operational optimization.
โ€ข Design, develop, and maintain dashboards, visualizations, scorecards, and performance reports using Tableau and/or Microsoft Power BI.
โ€ข Establish and monitor key performance indicators (KPIs), metrics, trends, and performance thresholds.
โ€ข Translate complex analytical findings into clear, actionable recommendations for Government stakeholders and senior leadership Required Qualifications โ€ข Advanced knowledge of data analytics and statistical analysis methodologies.
โ€ข Strong knowledge of data mining and pattern identification techniques.
โ€ข Experience developing and validating statistical and predictive models.
โ€ข Knowledge and practical application of machine learning methods and techniques. Desired Qualifications โ€ข Master's degree in supply chain management, Logistics, Business Administration, or a related field.
โ€ข Military Experience preferred About PingWind PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL. www.PingWind.com Our benefits include: โ€ข Eleven Federal Holidays
โ€ข Paid Time Off accrued each pay period
โ€ข Parental Leave
โ€ข Three medical plan choices with generous employer contribution
โ€ข Dental and Vision Insurance
โ€ข Company paid Short-Term and Long-Term Disability
โ€ข Company paid Life and AD&D Insurance
โ€ข 401k with competitive matching and vesting schedule โ€ข Continuing education assistance
โ€ข Short Term / Long Term Disability & Life Insurance
โ€ข Medical, Dependent Care and Commuter Flexible Spending Accounts
โ€ข Employee Assistance Program โ€ข Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
โ€ข 529 College Savings Plan
โ€ข Legal Insurance โ€ข Pet Insurance Salary Range $99k-$138k The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws. Veterans are encouraged to apply PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.