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Temporary Data Scientist Machine Learning Jobs in Alabama

Motion Industries (MOT)

Data Scientist

Montgomery, AL · On-site

$110 - $170/hr

Under limited supervision, the Data Scientist works closely with business stakeholders to ... Must have a passion for machine-learning and research. This position will be tasked with helping ...

TAMKO

Manufacturing Data Scientist

Tuscaloosa, AL · On-site

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ...

Booz Allen Hamilton

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Scientist

Huntsville, AL · On-site +1

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton, Inc.

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Phase2 Technology

Data Scientist

Huntsville, AL · On-site

$113 - $257/hr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

SAIC

Data Scientist

Huntsville, AL · On-site

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 25% of the time Minimum Clearance ... Practical understanding in machine learning deployment with a focus on optimization, including ...

Guidehouse

Epidemiologist Data Scientist

Huntsville, AL · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Design, implement, and refine machine learning and statistical models (e.g., regression, clustering ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers, data scientists and product managers, contributing directly to feature design and architecture and ...

Leidos

Data Scientist

Huntsville, AL

$69K - $125K/yr

You will also be responsible for working with other software engineers, machine learning engineers, data scientists and product managers, contributing directly to feature design and architecture and ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Alabama

Temporary Data Scientist Machine Learning information

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 Alabama?

The most popular types of Data Scientist Machine Learning jobs in Alabama are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Alabama?

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

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

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Alabama are:

What cities in Alabama are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in Alabama 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 Alabama as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist 3 (IT) 4P/367

4P Consulting Inc

Birmingham, AL • On-site

Full-time

Re-posted 4 days ago

Job description

Data Scientist 3

Location: Birmingham, AL 35203

Client: Alabama Power

Contract: 1 Year

Job Summary

We are seeking an experienced Data Scientist (Level 3) with 5–10 years of advanced data analytics experience to join our team. This role requires a strong foundation in statistics, machine learning, and data engineering. The successful candidate will leverage big data tools, programming expertise, and statistical modeling to develop insights and support critical decision-making in the utilities industry.

Key Responsibilities

  • Data Wrangling & Exploration
    • Acquire, clean, and process large, complex datasets from multiple sources, including smart meters, grid sensors, customer systems, and financial platforms.
    • Explore data for anomalies, trends, and correlations to support operational, engineering, and business use cases.
  • Model Development
    • Build, validate, and deploy machine learning and statistical models for applications such as predictive maintenance, outage prediction, customer load forecasting, and energy demand analysis.
    • Evaluate and apply appropriate ML algorithms including regression, classification, clustering, and time-series forecasting.
  • Visualization & Reporting
    • Develop intuitive data visualizations and dashboards using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn, Plotly).
    • Translate complex results into clear business insights for engineering, operations, and leadership teams.
  • Big Data & Advanced Analytics
    • Utilize big data frameworks such as Spark, Hadoop, or Databricks to process and analyze large-scale structured and unstructured datasets.
    • Support integration of analytics into operational systems, ensuring scalability and performance.
  • Collaboration
    • Partner with cross-functional stakeholders in grid operations, transmission, distribution, and customer solutions to identify high-value data science opportunities.
    • Work closely with data engineers, business analysts, and domain experts to align models with business and regulatory needs.

Experience:

  • 5–10 years of applied data science experience in an enterprise setting.
  • Proven success in designing, deploying, and scaling advanced analytics models.
  • Utilities or energy-sector experience strongly preferred (e.g., transmission, distribution, smart grid, AMI/MDM, renewable integration).
  • Technical Skills:
  • Proficient in Python or R (statistical programming).
  • Strong statistical knowledge and experience applying the scientific method.
  • Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
  • Skilled in SQL and database querying.
  • Experience with big data tools (Spark, Hadoop, Databricks) is highly desirable.
  • Familiarity with cloud platforms (Azure, AWS, or GCP).
  • Soft Skills:
  • Strong problem-solving and analytical abilities.
  • Ability to present technical findings to non-technical stakeholders.
  • Self-motivated, with capacity to work independently and collaboratively.

Work Environment

  • Hybrid work arrangement with periodic travel to company sites, data centers, or field locations.
  • Must be able to balance multiple concurrent projects in a fast-paced, results-driven environment.

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