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Contract Machine Learning Data Scientist Jobs in Birmingham, AL

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Data Scientist III (IT) Location: Birmingham, AL Duration: 1 Year Client: Alabama Power Job Summary ... This role requires strong expertise in statistics, machine learning, and programming , with the ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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Contract Machine Learning Data Scientist information

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$35.1K

$115K

$184.2K

How much do contract machine learning data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for contract machine learning data scientist in Birmingham, AL is $115,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $127,500.00 per year, depending on experience, location, and employer.

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Birmingham, AL?

For Contract Machine Learning Data Scientist jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Data Scientist jobs in Birmingham, AL look for?

The top searched job categories for Contract Machine Learning Data Scientist jobs in Birmingham, AL are:

What cities near Birmingham, AL are hiring for Contract Machine Learning Data Scientist jobs?

Cities near Birmingham, AL with the most Contract Machine Learning Data Scientist job openings:

Contract Machine Learning Data Scientist jobs near you

Data Scientist III (IT)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 9 days ago

Job description

Position: Data Scientist III (IT)

Location: Birmingham, AL

Duration:  1 Year

Client: Alabama Power

Job Summary

The Data Scientist III is responsible for applying advanced data analysis techniques and the scientific method to solve complex business and technical problems. This role requires strong expertise in statistics, machine learning, and programming, with the ability to transform raw data into actionable insights.

The ideal candidate has hands-on experience with data wrangling, exploratory data analysis, statistical modeling, machine learning algorithms, and data visualization, and can work effectively with large and complex datasets in an enterprise IT environment.

Key Responsibilities

  • Apply the scientific method to frame problems, test hypotheses, and validate results
  • Perform data wrangling, cleansing, and preprocessing on structured and unstructured datasets
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  • Build, evaluate, and deploy statistical and machine learning models
  • Apply a variety of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods)
  • Work with large-scale datasets and big data processing frameworks
  • Create data visualizations and dashboards to communicate insights effectively
  • Collaborate with cross-functional teams including IT, data engineering, analytics, and business stakeholders
  • Translate complex analytical findings into clear, actionable recommendations
  • Document methodologies, models, assumptions, and results

Required Qualifications

  • 5–10 years of experience in data science, analytics, or a related role
  • Strong proficiency in statistics and probability
  • Proficiency in at least one programming language:
  • Python or
  • R
  • Hands-on experience with data wrangling, analysis, and exploration
  • Familiarity with a wide range of machine learning algorithms
  • Experience creating data visualizations using industry-standard tools or libraries
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication abilities

Preferred Qualifications

  • Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar)
  • Familiarity with cloud-based data or analytics platforms
  • Experience deploying or operationalizing machine learning models
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, or equivalent)
  • Experience working in an enterprise or IT-driven environment