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

Hexagon AB

RMS Implementer (Remote- US)

Madison, AL · On-site +1

A bachelor's degree in computer science or related field or commensurate, documented experience in ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

Hexagon AB

CAD Implementer (REMOTE-US)

Madison, AL · On-site +1

Lead simple data modeling and data conversion definition activities * Performs complex ... A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ...

Hexagon AB

CAD Implementer, Remote- US

Madison, AL · On-site +1

... Science, Engineering, Sciences, or a related field, or equivalent combination of education and ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

Booz Allen Hamilton, Inc.

Data Analyst, Mid

Huntsville, AL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245026 Location: Huntsville,AL,US Share job via: Share Data Analyst, Mid The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

Frontier Technology Inc.

AI/ML Engineer

Huntsville, AL · Remote

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. * Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote ...

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

Remote Data Scientist information

See Decatur, AL salary details

$35.2K

$115.1K

$184.2K

How much do remote data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data scientist in Decatur, AL is $115,061.00, 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 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.

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 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.

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 Decatur, AL? The most popular types of Data Scientist jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Remote Data Scientist jobs? Cities near Decatur, AL with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Decatur, AL as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,061 per year, or $55.3 per hour.

Senior Enterprise Data Architect | 100% Remote (EST Candidates Only)

Apetan Consulting llc

Huntsville, AL • Remote

$68.75 - $92/hr

Contractor

Re-posted 23 days ago

Job description

Job Title: Senior Enterprise Data Architect
Work Mode: 100% Remote (EST Candidates Only)
Job Type: Long Term Contract
We are seeking a Data Architect (Go Getter Attitude) who operates at the intersection of data modeling, business understanding, and analytical insight. This role is not limited to designing schemas—it requires a deep curiosity about how the business works and the ability to translate that understanding into scalable, coherent data domains and models that serve both analytical and operational needs.

Key Responsibilities

  • Lead the design and evolution of enterprise data models, including conceptual, logical, and physical layers.
  • Translate complex business processes, entities, and relationships into well-structured data domains and models.
  • Partner closely with business stakeholders to understand workflows, metrics, and decision-making processes, and reflect them accurately in data structures.
  • Develop models that support both analytical use cases (e.g., reporting, BI, data science) and non-analytical use cases (e.g., operational systems, APIs).
  • Establish and enforce data modeling standards, naming conventions, and governance practices across the organization.
  • Collaborate with data engineers to ensure models are implemented efficiently in modern data platforms (e.g., warehouses, lakehouses).
  • Analyze existing data systems to identify gaps, redundancies, and opportunities for simplification or improvement.
  • Drive domain-oriented data architecture (e.g., data mesh principles) where appropriate, ensuring clear ownership and boundaries.
  • Ensure data models are scalable, maintainable, and aligned with long-term business strategy.

Qualifications

  • Strong experience in data modeling (dimensional, normalized, and hybrid approaches).
  • Demonstrated ability to deeply understand business domains and map them into data structures.
  • Proficiency with SQL and experience working with modern data platforms (e.g., Snowflake, BigQuery, Databricks).
  • Solid analytical skills, with the ability to explore and validate data against real business scenarios.
  • Experience collaborating with both technical teams and non-technical stakeholders.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Ability to think abstractly about systems while also engaging with detailed data-level implementation.

Preferred Attributes

  • Experience designing data domains aligned to business capabilities or bounded contexts.
  • Background in analytics, BI, or data science that informs modeling decisions.
  • Comfort working in evolving environments where both business and data structures are still being defined.
  • A strong sense of ownership and curiosity about how data reflects real-world business processes.

What the role is not

  • An ETL or a Data Integration Architect