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Remote Data Scientist Intern Jobs in Alabama (NOW HIRING)

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

New

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

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 ...

$14.75 - $19.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14.75 - $19.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14 - $18.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$15 - $19.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14 - $18.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

... others for real-time remote monitoring. We take pride in developing deep user understanding ... and data science workflows. This role helps ensure geospatial data is identified, acquired ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

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Showing results 1-20

Remote Data Scientist Intern information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do remote data scientist intern jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data scientist intern in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a remote data scientist intern?

A Remote Data Scientist Intern is a temporary, entry-level role where you assist in data analysis, machine learning, and statistical modeling while working remotely. You’ll clean and process data, build predictive models, and generate insights to support business decisions. Interns typically use programming languages like Python or R, along with tools like SQL and cloud platforms. This role provides hands-on experience in data science while offering flexibility to work from anywhere.

What types of projects or tasks can I expect as a remote data scientist intern?

As a Remote Data Scientist Intern, you can typically expect to work on real-world data analysis projects, such as cleaning and organizing datasets, building predictive models, and creating visualizations to support business decisions. You may also assist with research, exploratory data analysis, and automating routine data processing tasks using programming tools. Collaboration is usually done through virtual meetings, code repositories, and project management platforms, where you'll interact with data scientists, engineers, and business stakeholders. This hands-on experience helps build both your technical and communication skills within a remote, team-oriented environment.

What are the key skills and qualifications needed to thrive as a remote data scientist intern?

To thrive as a Remote Data Scientist Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often gained through coursework or relevant projects. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), version control systems like Git, and data visualization tools such as Tableau or matplotlib is highly valued. Strong communication, self-motivation, and time management are essential soft skills, especially when working remotely. These skills help interns efficiently analyze data, contribute to team projects, and adapt to the collaborative, fast-paced nature of remote data science work.

What are the most commonly searched types of Remote Data Scientist jobs in Alabama?

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

What are popular job titles related to Remote Data Scientist Intern jobs in Alabama?

For Remote Data Scientist Intern jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Intern jobs in Alabama look for?

The top searched job categories for Remote Data Scientist Intern jobs in Alabama are:

What cities in Alabama are hiring for Remote Data Scientist Intern jobs?

Cities in Alabama with the most Remote Data Scientist Intern job openings:

Infographic showing various Remote Data Scientist Intern job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,570 per year, or $71.9 per hour.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 24 days ago


Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)