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Temporary Data Scientist Machine Learning 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL · On-site

$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 ...

Varsity Tutors

Machine Learning Tutor

Birmingham, AL · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Birmingham, AL

Temporary Data Scientist Machine Learning information

See Birmingham, AL salary details

$35.1K

$115K

$184.2K

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

As of Sep 4, 2026, the average yearly pay for temporary data scientist machine learning 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 does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

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

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

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

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Birmingham, AL?

The most popular types of Data Scientist Machine Learning jobs in Birmingham, AL are:

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

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

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

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

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

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

Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,029 per year, or $55.3 per hour.

Data Scientist III (IT)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 10 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