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Remote Data Science Jobs in Huntsville, AL (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Huntsville, AL

Remote Data Science information

See Huntsville, AL salary details

$21.8K

$97.1K

$185.3K

How much do remote data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data science in Huntsville, AL is $97,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,168.00 and $134,711.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Huntsville, AL? The most popular types of Data Science jobs in Huntsville, AL are:
What are popular job titles related to Remote Data Science jobs in Huntsville, AL? For Remote Data Science jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Huntsville, AL look for? The top searched job categories for Remote Data Science jobs in Huntsville, AL are:
What cities near Huntsville, AL are hiring for Remote Data Science jobs? Cities near Huntsville, AL with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,122 per year, or $46.7 per hour.

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

Apetan Consulting llc

Huntsville, AL • Remote

$68.75 - $92/hr

Contractor

Re-posted 20 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