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Remote Salesforce Data Scientist Jobs in Alabama

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 ...

CSAA

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

Vultus Inc

Salesforce Developer

Montevallo, AL · On-site +1

$100K - $145K/yr

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field ... Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range $100,000 - $145,000 ...

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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Remote Salesforce Data Scientist information

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

AspectRemote Salesforce Data ScientistRemote Salesforce Data Analyst
Required CredentialsData science degree, Salesforce certifications, programming skillsData analysis certifications, Salesforce certifications, basic SQL skills
Work EnvironmentCollaborates with data science teams, develops predictive modelsPrepares reports, analyzes Salesforce data, supports decision-making
Employer & Industry UsageTech companies, CRM providers, large enterprises using SalesforceSalesforce users, marketing teams, sales departments

Remote Salesforce Data Scientists focus on building predictive models and advanced analytics, requiring programming and data science expertise. In contrast, Remote Salesforce Data Analysts primarily interpret Salesforce data to generate reports and insights. Both roles are vital in organizations leveraging Salesforce, but they differ in technical complexity and scope.

What is a remote Salesforce data scientist?

A Remote Salesforce Data Scientist is a professional who uses data science techniques to analyze and interpret data within Salesforce, a popular customer relationship management (CRM) platform, while working from a remote location. They leverage tools like Salesforce Einstein Analytics and programming languages such as Python or R to extract insights, build predictive models, and help organizations make data-driven decisions. Their work often involves integrating large datasets, cleaning and preprocessing data, and presenting actionable findings to stakeholders. By working remotely, they can collaborate with global teams and access Salesforce environments securely from anywhere.

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

To thrive as a Remote Salesforce Data Scientist, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree and experience with CRM data. Proficiency in Salesforce platform tools, SQL, Python or R, and familiarity with data visualization and ETL systems are crucial, and certifications like Salesforce Data Architect or Tableau can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this remote role. These skills are essential to extract actionable insights from Salesforce data, support business decisions, and collaborate effectively in a distributed environment.

Does Salesforce offer remote positions?

Salesforce offers remote positions for various roles, including data scientists, allowing employees to work from home or other locations. Many remote opportunities require familiarity with Salesforce tools, data analysis, and cloud-based platforms. Availability of remote jobs can vary by role and location, so checking current listings is recommended.

How does a remote Salesforce data scientist typically collaborate with cross-functional teams?

As a Remote Salesforce Data Scientist, you’ll frequently collaborate with sales, marketing, and IT teams to interpret data needs and deliver actionable insights. Communication is primarily conducted through virtual meetings, shared dashboards, and cloud-based project management tools. You'll often present findings, discuss data-driven strategies, and partner with Salesforce administrators to ensure data quality and accessibility. This role requires strong interpersonal skills and the ability to translate complex analyses into practical business recommendations for various stakeholders.
What are the most commonly searched types of Salesforce Data Scientist jobs in Alabama? The most popular types of Salesforce Data Scientist jobs in Alabama are:
What are popular job titles related to Remote Salesforce Data Scientist jobs in Alabama? For Remote Salesforce Data Scientist jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Salesforce Data Scientist jobs in Alabama look for? The top searched job categories for Remote Salesforce Data Scientist jobs in Alabama are:
What cities in Alabama are hiring for Remote Salesforce Data Scientist jobs? Cities in Alabama with the most Remote Salesforce Data Scientist job openings:
Remote Salesforce Data Scientist jobs near you
Infographic showing various Remote Salesforce Data Scientist job openings in Alabama as of August 2026, with employment types broken down into 5% Internship, 70% Full Time, 5% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 10 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)