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Remote Data Scientist Jobs in Alabaster, AL (NOW HIRING)

Vultus Inc

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 ...

Shipt, Inc.

Senior Data Scientist I

Birmingham, AL · On-site +1

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 ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

... 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 ...

Kemper

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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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Alabaster, AL

Remote Data Scientist information

See Alabaster, AL salary details

$31.9K

$104.4K

$167.2K

How much do remote data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data scientist in Alabaster, AL is $104,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $115,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Alabaster, AL?

The most popular types of Data Scientist jobs in Alabaster, AL are:

What are popular job titles related to Remote Data Scientist jobs in Alabaster, AL?

For Remote Data Scientist jobs in Alabaster, AL, the most frequently searched job titles are:

What cities near Alabaster, AL are hiring for Remote Data Scientist jobs?

Cities near Alabaster, AL with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Alabaster, AL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $104,436 per year, or $50.2 per hour.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 22 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)