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Remote Data Scientist Experimentation Jobs in Michigan

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... scientists, analysts, and engineers. * Promote a culture of innovation, experimentation, and ...

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Remote Data Scientist Experimentation information

What does a remote data scientist experimentation do?

A Remote Data Scientist Experimentation specializes in designing, conducting, and analyzing experiments such as A/B tests to inform product or business decisions. They work remotely, using statistical methods and data analysis tools to test hypotheses, measure outcomes, and provide actionable insights. Their role often involves collaborating with product, engineering, and marketing teams to ensure experiments are well-designed and results are effectively communicated. By optimizing experimentation processes and interpreting complex data, they help organizations make data-driven decisions from anywhere.

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

To thrive as a Remote Data Scientist specializing in Experimentation, you need strong proficiency in statistics, experimental design, data analysis, and a solid foundation in programming languages like Python or R, typically backed by a degree in a quantitative field. Familiarity with A/B testing platforms, data visualization tools, and cloud-based analytics systems is crucial, along with experience using SQL and machine learning libraries. Exceptional problem-solving abilities, attention to detail, and clear communication skills set top performers apart, especially when collaborating remotely. These skills ensure sound experimental methodology, actionable insights, and effective teamwork in a distributed work environment.

How does a remote data scientist experimentation typically collaborate with cross-functional teams to design and analyze experiments?

As a Remote Data Scientist specializing in experimentation, you'll frequently work with product managers, engineers, and UX researchers to identify business questions that can be addressed through A/B testing or other experimental designs. Collaboration often happens through virtual meetings, shared documentation, and project management tools. You'll be responsible for helping teams define hypotheses, select appropriate metrics, design experiments, analyze results, and communicate findings. Strong communication skills are essential, as you'll need to translate statistical insights into actionable recommendations for non-technical stakeholders.

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

AspectRemote Data Scientist ExperimentationRemote Data Scientist
CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with experimentation toolsBachelor's/Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentFocus on designing and analyzing experiments, A/B testing, and causal inferenceBroader data analysis, modeling, and predictive analytics
Industry UsageCommon in e-commerce, SaaS, and product teams emphasizing experimentationUsed across various industries for data analysis and modeling

Remote Data Scientist Experimentation specializes in designing and analyzing experiments like A/B tests to optimize products, while Remote Data Scientist has a broader role in data analysis, modeling, and predictive analytics. Both roles require similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Data Scientist Experimentation jobs in Michigan?

The most popular types of Data Scientist Experimentation jobs in Michigan are:

What are popular job titles related to Remote Data Scientist Experimentation jobs in Michigan?

For Remote Data Scientist Experimentation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Experimentation jobs in Michigan look for?

The top searched job categories for Remote Data Scientist Experimentation jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Scientist Experimentation jobs?

Cities in Michigan with the most Remote Data Scientist Experimentation job openings:

Remote Data Scientist Experimentation jobs near you
Infographic showing various Remote Data Scientist Experimentation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Grand Rapids, MI • Remote

$90 - $120/hr

Part-time

Posted 24 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 — 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.

Apply