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Mathematical Optimization Remote Jobs in Oregon (NOW HIRING)

Senior DevOps Engineer

OR · On-site +1

$129.90K - $166.80K/yr

Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent ...

Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer ... Excellent mathematical and statistical foundations, including a degree in a quantitative field ...

Founded in 2013, Jampp leverages machine learning, creative optimization, and proprietary ... A technical (engineering, math, science) degree is a big plus. * Hablar espanol suma puntos! WHAT ...

... . You will apply advanced analytics and measurement frameworks to equip stakeholders with the ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Staff Data Analyst, Servicing

OR · On-site +1

$61.90K - $81.90K/yr

Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Business Intelligence Engineer

OR · Remote

$51 - $66.25/hr

Platform Optimization: Ensure the performance and scalability of BI tools, including Tableau, Power ... Education: BS in Computer Science, Data Science, Mathematics, or related field, or equivalent ...

... Physics, Mathematics, or other Engineering fields, or equivalent experience. * 8+ years of ... Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and ...

... Physics, Mathematics, or other Engineering fields, or equivalent experience. * 8+ years of ... Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and ...

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field. * Associate or ... Resolves unreasonable results/non-optimal solutions using experience and professional judgment.

Principal Software Engineer, Cash Line

OR · Remote

$134.90K - $180.80K/yr

Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its ... Remote, San Mateo, Columbus, Austin Time Zone Requirements - This team operates across all U.S ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108.80K - $181.30K/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 ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108.80K - $181.30K/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 ...

Data Scientist - Predictive Analytics

OR · On-site +1

$108.80K - $181.30K/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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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 popular job titles related to Mathematical Optimization Remote jobs in Oregon? For Mathematical Optimization Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Remote jobs in Oregon look for? The top searched job categories for Mathematical Optimization Remote jobs in Oregon are:
What cities in Oregon are hiring for Mathematical Optimization Remote jobs? Cities in Oregon with the most Mathematical Optimization Remote job openings:
Senior Engineering Manager, Distribution Platform

Senior Engineering Manager, Distribution Platform

Upstart

On-site, Remote

Other

Posted 9 days ago


Job description

The Team: 

Upstart's Distribution Platform team is developing innovative solutions and strategies that drive efficient and scalable marketing outreach, empowering us to effectively engage with our users while having a direct impact on Upstart's mission and growth. The team is responsible for some of our highest value distribution channels including digital ads, direct mail, and partner integrations. Our goal is to build an intelligent, unified system that learns, automates, and scales how Upstart engages with our customers on these channels.  

As a Senior Engineering Manager at Upstart, you will play a crucial role in shaping how we drive user growth and outreach through intelligent targeting, 3P integrations, and data-heavy scalable infrastructure. You'll be responsible for the tech behind some of our largest marketing channels and have a direct impact on the company's performance. You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning, and Product to create a scalable marketing platform that mobilizes Upstart's owned channels to drive users to our products efficiently. 

How you'll make an impact

  • Define and implement an engineering roadmap that supports intelligent and scalable outreach to customers via our direct mail, digital, and partnerships platform
  • Work with cross functional partners including Product Managers, Performance Marketing Managers, Analytics, and Research Scientists to make this a highly impactful program
  • Lead, coach, and develop a high-performing engineering team directly, focused on providing high quality solutions and incrementally enhance systems with each pull request
  • Leverage experimentation and data-driven insights to refine growth strategies, optimizing user outreach and conversion through continuous testing, iteration, and personalization
  • Create a best-in-class direct mail and digital infrastructure that scales

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience.
  • Experience leading product oriented teams with quantifiable user impact 
  • Ability to convey complex technical information to a variety of audiences

Preferred Qualifications

  • Experience working on systems that integrate with 3rd parties and/or ingest, store, expose large amounts of data
  • Professional experience working on either Marketing technology or Growth engineering
  • Proven track record of leading and growing engineering teams
  • Success in driving initiatives spanning multiple teams across organizations
  • Skilled in scaling systems in both a technical and organizational capacity

Position location This role is available in the following locations: Remote 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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