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Remote Manufacturing Data Scientist Jobs in Alabama

ENGINEER/SCIENTIST

Huntsville, AL ยท On-site +1

$125K - $192K/yr

... and manufacturing readiness against strict performance and cost targets. * You will regularly ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

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Remote Manufacturing Data Scientist information

How does a remote manufacturing data scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What does a remote manufacturing data scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

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

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

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

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

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

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

AI Training Specialist - Life Sciences

micro1 AI

Mobile, AL โ€ข Remote

$90 - $120/hr

Part-time

Posted 16 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.