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Mathematical Optimization Remote Jobs in Ohio (NOW HIRING)

Statheros

Job Responsibilities * Design, implement, and optimize Proximal Policy Optimization (PPO ... Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ...

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL ...

Aimpoint Digital

$99K - $136K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Support optimization of staffing and workforce planning models with guidance from senior team ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Support optimization of staffing and workforce planning models with guidance from senior team ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ...

JLL

Senior Sustainability Manager

Cincinnati, OH · On-site +1

$120K - $150K/yr

Conduct remote energy audits by accessing client building management systems, identifying ... Mathematics, or related technical field * 10+ years of experience in sustainable operations ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Support optimization of staffing and workforce planning models with guidance from senior team ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ...

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All JobsMathematical Optimization Remote JobsMathematical Optimization Remote Jobs in Ohio

Mathematical Optimization Remote information

What are some common challenges faced by professionals in remote mathematical optimization roles, and how can they be addressed?

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is a Mathematical Optimization Remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

Can dyslexia affect math?

Dyslexia primarily impacts reading and language processing, but it can also affect math skills, especially in areas involving word problems, sequencing, and symbol recognition. In a mathematical optimization role, strong analytical and technical skills are essential, and individuals with dyslexia can succeed by utilizing tools like visual aids, software, and accommodations to support their learning and performance.

Why did Finn stop saying mathematical?

There is no known connection between the job of Mathematical Optimization Remote and someone named Finn stopping to say 'mathematical.' If this refers to a specific individual or context, it is unrelated to the job role, which involves applying mathematical techniques to optimize processes remotely. The phrase may be a personal or humorous reference rather than a professional or industry-related change.

Is Royal Holloway good for maths?

Royal Holloway offers a reputable mathematics program with strong research and teaching quality, making it a solid choice for students interested in mathematics. For those pursuing a mathematical optimization remote role, a solid foundation in advanced mathematics and familiarity with relevant tools like programming languages or optimization software are beneficial. The university's curriculum can support skills needed for such roles.

What is the difference between Mathematical Optimization Remote vs Data Analyst Remote?

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Specialist working remotely, and why are they important?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.
What are popular job titles related to Mathematical Optimization Remote jobs in Ohio? For Mathematical Optimization Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Remote jobs in Ohio look for? The top searched job categories for Mathematical Optimization Remote jobs in Ohio are:
What cities in Ohio are hiring for Mathematical Optimization Remote jobs? Cities in Ohio with the most Mathematical Optimization Remote job openings:
Mathematical Optimization Remote jobs near you

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 23 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.

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