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Remote Meta Data Science Jobs in Indiana (NOW HIRING)

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

High School Science Teacher

Modoc, IN · Remote

$46K - $50K/yr

Join us! This is a REMOTE full-time position. Ability to work independently, typically 40+ hours ... student data, anduse it to drive instructional decisions. * Receptive to receiving coaching ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Sr. Systems Engineer

Indianapolis, IN · On-site +1

$99K - $136K/yr

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

High School Science Teacher

Modoc, IN · Remote

$44K - $57K/yr

Indiana Salary Range : $46,000 - $50,000 plus the eligibility of a performance bonus The remote ... Student success will be measured by valid and reliable assessment data, parent and student ...

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

Showing results 21-40

Remote Meta Data Science information

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote meta data science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a remote meta data scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

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

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Indiana? The most popular types of Meta Data Science jobs in Indiana are:
What are popular job titles related to Remote Meta Data Science jobs in Indiana? For Remote Meta Data Science jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Meta Data Science jobs? Cities in Indiana with the most Remote Meta Data Science job openings:

AI Training Specialist - Life Sciences

micro1 AI

Carmel, IN • Remote

$90 - $120/hr

Part-time

Posted 10 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.