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Remote Data Science Sports Betting Jobs in Indiana

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

UI/UX SME

Crane, IN ยท 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

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

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 ยท 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 ยท 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 ...

Showing results 21-40

Remote Data Science Sports Betting information

What is a remote data science sports betting professional?

A Remote Data Science Sports Betting job involves using data analysis, statistical modeling, and machine learning to predict sports outcomes or optimize betting strategies. Professionals in this role gather and analyze large datasets related to sports events, player statistics, and betting markets, often working for online sportsbooks or analytics firms. Their insights help companies set odds, manage risk, and improve profitability. This job can be done from anywhere with internet access, allowing for flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote data science sports betting professional?

To thrive in Remote Data Science Sports Betting, you need a solid background in statistics, probability, and data analysis, often supported by a degree in mathematics, statistics, or computer science. Proficiency in programming languages like Python or R, experience with machine learning frameworks, and familiarity with sports data APIs and databases are commonly required. Strong critical thinking, attention to detail, and effective communication skills help you interpret data accurately and share actionable insights with stakeholders. These skills are crucial for building predictive models, identifying value bets, and driving successful outcomes in a competitive, data-driven industry.

How does a remote data science sports betting professional typically collaborate with cross-functional teams?

Remote data science professionals in sports betting often work closely with product managers, software engineers, and trading teams to develop predictive models and data-driven strategies. Collaboration is usually facilitated through regular virtual meetings, shared project management tools, and documentation platforms. Clear communication and timely updates are vital, as model outputs can directly impact betting decisions and platform features. Building strong relationships remotely helps ensure alignment on goals and quick iteration on analytical projects.

What is the difference between Remote Data Science Sports Betting vs Remote Data Analysis Sports Betting?

AspectRemote Data Science Sports BettingRemote Data Analysis Sports Betting
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, often with data scientists and developersIndividual or team-based analysis, often with business stakeholders
Industry UsageUsed in developing predictive models for betting odds and strategiesUsed in interpreting data trends and reporting for betting companies

Remote Data Science Sports Betting focuses on building predictive models and advanced analytics, while Remote Data Analysis Sports Betting emphasizes interpreting data and generating reports. Both roles require strong analytical skills but differ in technical complexity and focus.

What are the most commonly searched types of Data Science Sports Betting jobs in Indiana?

The most popular types of Data Science Sports Betting jobs in Indiana are:

What are popular job titles related to Remote Data Science Sports Betting jobs in Indiana?

For Remote Data Science Sports Betting jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Sports Betting jobs in Indiana look for?

The top searched job categories for Remote Data Science Sports Betting jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Science Sports Betting jobs?

Cities in Indiana with the most Remote Data Science Sports Betting job openings:

AI Training Specialist - Life Sciences

micro1 AI

Indianapolis, IN โ€ข Remote

$90 - $120/hr

Part-time

This job post hasย expired today.ย Applications are no longer accepted.


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.