2

Mathematical Optimization Remote Jobs in Georgia

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/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 ...

Game Operations Manager

Atlanta, GA · On-site +1

$110K - $125K/yr

... and long-term optimization of our pre-match projections. Moving beyond daily individual ... Strong mathematical and analytical skills with the ability to translate data into actionable ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... mathematical foundation in linear algebra, probability, and optimization Experience with large ...

... remote opportunities. Our growth includes recent acquisitions of Stessa (financial and asset ... This team player will be intimately familiar with the mechanics of optimizing rental properties ...

The Associate Product Manager plays a key role in managing and optimizing personal auto products by ... Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Business, or a ...

Ideally this role will be hybrid based out of one of our locations; however, remote locations will ... Computer Science, Management Information Systems, or Statistics/Mathematics. * Experience with data ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ...

Mathematical Optimization Remote information

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 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.

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 most commonly searched types of Mathematical Optimization jobs in Georgia? The most popular types of Mathematical Optimization jobs in Georgia are:
What are popular job titles related to Mathematical Optimization Remote jobs in Georgia? For Mathematical Optimization Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Remote jobs in Georgia look for? The top searched job categories for Mathematical Optimization Remote jobs in Georgia are:
What cities in Georgia are hiring for Mathematical Optimization Remote jobs? Cities in Georgia with the most Mathematical Optimization Remote job openings:

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

Full-time

Posted 17 days ago


Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle - from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

Employment Type: FULL_TIME