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Remote Mathematical Optimization Developers
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Top remote Mathematical Optimization developers and experts available to hire:

Remote Mathematical Optimization developer - Leopoldo U.
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Leopoldo U.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Software Engineer .NET senior, with great experience in Microsoft technologies, as visual studio, C#, NET Core, SQL Server (web, desktop, cloud) environments, mainly as a backend role but also with notion of frontend development. Professional experience in cloud using Azure and learning AWS. Also, knowledge in agile methodologies and professional experiences with some Architecture, like micro services, monoliths, SOAP, and Event Drive Design.

Remote Mathematical Optimization programmer - Gustavo S.
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Gustavo S.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Throughout his career, Gustavo has established himself as a Full Stack Developer and Software Architect, distinguished by his expertise in engineering sophisticated software solutions, steering application development, and leading technology implementations across various sectors. His journey is a testament to his relentless pursuit of excellence in cloud-based applications and data engineering, underscored by his commitment to creating scalable, efficient solutions leveraging first-class and No/Low Code tech stacks. Gustavo's career is characterized by a unique blend of technical prowess and strategic insight, enabling him to simplify complex technical concepts for high-level executives and software engineers alike, thus translating intricate technicalities into strategic business insights. This skill has not only enhanced his ability to deliver impactful presentations but has also solidified his reputation as a trusted "CTO for Hire" within startup accelerators. In this capacity, Gustavo has adeptly coordinated technology strategies, navigated the complexities of managing competing priorities from diverse organizations, and tailored solutions that resonate with client needs with empathy and precision. A defining moment in Gustavo's career was the successful development and implementation of a No/Low Code proof of concept, leading to the execution of a significant project that surpassed scalability and efficiency benchmarks. This achievement highlighted his proficiency in No/Low Code platforms, a skill set he is eager to leverage in guiding enterprise customers to maximize their investments. The cornerstone of Gustavo's work is collaboration, having spent over four years working closely with native teams and managers, honing his understanding of cross-cultural and interdisciplinary team dynamics. His technical repertoire encompasses Python, JavaScript, React, Vue.js, Node.js, alongside expertise in cloud platforms like GCP and AWS, enriched by a solid foundation in data processing frameworks such as PySpark and Apache Kafka. As Gustavo looks towards the future, his ambition is to embrace the role of a Customer Engineer, where he can apply his technical expertise, strategic planning, and organizational skills to cultivate deep relationships with enterprise customers. With more than six years of experience in enterprise-level technical pre-sales and solution consulting, Gustavo is well-equipped to navigate the complexities of customer needs, crafting pathways to technological adoption and transformation that resonate across competitive landscapes.

Remote Mathematical Optimization consultant - Igor U.
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Igor U.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Sr Data Engineer | AWS Solutions Architect Certified | Spark Databricks developer Certified * 📷Sigma Software Group * 📷Federal University of Viçosa I'm Igor and I'm working in the IT area since 2015. I started my career being a software engineer, working on the backend, front end development, and DevOps, but at that time we already handled lots of data, but some datasets had become pretty much larger than we had used to see, so I discovered my real passion: the big data world. So I decided to jump into the data world where I'm until today. I'm a Data Engineer more focused on programming and infrastructure, so I have worked providing larger data engineering teams with some customized tools to help them during their data pipeline development. I have experience in providing and maintaining big data clusters, either on-premises or on the cloud, with some ready-to-use open-source (or customized) tools like Hadoop, Spark, Hive, Presto, Druid, Sqoop, NiFi, and others. Across all my work experience, I have done some user education 1:1s and training sessions to help our consumers on using our tooling efficiently. Also, sometimes I was allocated to some projects in order to help in data pipeline development using both real-time and batch approaches. One of my greatest achievements regarding this was designing and developing an automated framework for ETL development where business users can focus more on data pipeline development rather than what surrounds it. This project has been largely used and improved nowadays by the responsible team. I have also experience with ML in production or MLOps. I have worked as a technical lead in an MLOps squad helping my team on designing and development of a whole ML platform where users can develop, build, deploy and monitor their own ML models using some key concepts like model bias, input/output data drift (data quality and integrity) without any DevOps skills or extra knowledge

Remote Mathematical Optimization programmer - Henrique W.
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Henrique W.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

I'm an Engineer Manager/Software Engineer and enthusiast of new technologies and solutions for this amazing world that is development. One of my pillars as a professional is that I believe that it is possible to achieve the best results when we give ourselves body and soul, going beyond the lines of code and seeking to understand the entire scenario facing the problem. I really like agile culture and I always go after what I believe is the future. My approach to problem-solving extends beyond mere lines of code; I delve deep into understanding the entire context to deliver optimal results. I'm deeply rooted in the agile culture, embracing its principles to drive continuous improvement and adaptability in my work. Feel free to explore some of my writings and projects: [https://medium.com/@henrique.weiand](https://medium.com/@henrique.weiand) [https://github.com/henriqueweiand](https://github.com/henriqueweiand)

Remote Mathematical Optimization expert - Matheus S.
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Matheus S.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Experienced Tech Lead with over 15 years in fullstack and backend development, specializing in Node.js, Go, and Rust. Proficient in serverless architectures using AWS (Lambda, SNS, SQS, Kinesis, Event Bridge) and building scalable distributed systems for critical sectors, including hospital and clinic management platforms.I possess strong technical expertise and have led projects involving modern technologies and event-driven architectures, ensuring high performance and reliability. I’m looking for global opportunities to apply my skills in Node.js, Go, and React.js, leading teams and driving innovation in challenging projects.

Remote Mathematical Optimization programmer - Marcel P.
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Marcel P.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.

Performance Optimization • 5 yrsQuery OptimizationData warehouseData EngineeringBig DataData VisualizationData modelingData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudSASData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingCloud ArchitecturePower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAPI IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateData Warehouse TestingDelta LakeBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Remote Mathematical Optimization architect - Lucas B.
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Lucas B.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

I know overheads and trade-offs very well. In other words, I am very much a performance-aware person. My ultimate goal for each project I partake in is to build robust, scalable, and cost-efficient software. With **more than 20 years of experience, I catch on to business rules quickly** and I can make formative suggestions. It’s a known fact that programming constantly evolves and will produce new tools. There will always be more to conquer and that is where the fun is. Great solutions are only possible to identify and implement **when, and only when**, meaningful conversations about the customers and users' needs and challenges take place.

Remote Mathematical Optimization coder - Ricardo S.
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Ricardo S.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Experienced technician both in logical programming and in management of machines and people. Over 20 years of professional experience with high load and high traffic servers and more than 30 years of academic experience and know-how in the computer science field. Technical and professional knowledge in several areas, with emphasis in the financial, accounting, commercial, statistics and mathematical areas. Experience with multiple integrations such as Adyen, Stripe, Paypal, Google Maps, IBM Watson and many others According to D.I.S.C. "Initiative is my highlight, I am objective, focused on results and take risks independently and innovatively. I am attentive to opportunities, I can be involved in several projects and know how to prioritize activities. I have a fast pace, I am dynamic and creative."

Remote Mathematical Optimization developer - Jorge H.
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Jorge H.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

I am a Wordpress developer with 7 years of experience. I have been working remotely for 4 years and have expertise in HTML, CSS, PHP, Javascript/jQuery, Bootstrap, Elementor, custom themes and plugins, SCSS, Git. I have experience building projects based on Figma and Photoshop, as well as knowledge on Cloudflare, SEO, and performance. I have also worked as a Development Manager, Founder of my own web solutions company, and as a Technology Manager.

Remote Mathematical Optimization developer - Bruno T.
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Bruno T.

Vetted Mathematical Optimization developer in Brazil (UTC-3)

Senior AI/MLOps Engineer with 8+ years of experience building and deploying enterprise-scale machine learning solutions. Demonstrated success bridging the gap between data science and production operations, accelerating delivery through CI/CD best practices, and optimizing the full ML lifecycle. Skilled at architecting MLOps systems, containerization with Kubernetes and cloud orchestration. Adept at working in Agile environments, collaborating with cross-functional teams, and translating business needs into robust ML architectures that scale.

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Why clients hire Mathematical Optimization developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Mathematical Optimization developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Mathematical Optimization developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Mathematical Optimization developers can help keep your website up-to-date.

How do I hire Mathematical Optimization developers?

To hire a Mathematical Optimization developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Mathematical Optimization developers effectively and efficiently. Hire full-time Mathematical Optimization developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Mathematical Optimization developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Mathematical Optimization developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Mathematical Optimization developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Mathematical Optimization developers?

There are two types of platforms you can hire Mathematical Optimization developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Mathematical Optimization developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Mathematical Optimization developers, consider niche platforms like Arc that naturally attract and carefully vet their Mathematical Optimization developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Mathematical Optimization developers.

Some factors to consider when you hire Mathematical Optimization developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Mathematical Optimization developers for hire.

How do I write a Mathematical Optimization developer job description?

Writing a good Mathematical Optimization developer job description is crucial in helping you hire Mathematical Optimization developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Mathematical Optimization developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Mathematical Optimization developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Mathematical Optimization developer?

The top five technical skills Mathematical Optimization developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Mathematical Optimization developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Mathematical Optimization developers to keep up with evolving technology and requirements.

What kinds of Mathematical Optimization developers are available for hire through Arc?

You can find a variety of Mathematical Optimization developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Mathematical Optimization developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Mathematical Optimization developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Mathematical Optimization developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Mathematical Optimization developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Mathematical Optimization developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Mathematical Optimization developers.

Every Mathematical Optimization developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Mathematical Optimization developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Mathematical Optimization developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Mathematical Optimization developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Mathematical Optimization developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Mathematical Optimization developers, you can rest assured that all remote Mathematical Optimization developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Mathematical Optimization developers on Arc?

Arc pre-screens all of our remote Mathematical Optimization developers before we present them to you. As such, all the remote Mathematical Optimization developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Mathematical Optimization developer in 72 hours, or find a full-time Mathematical Optimization developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Mathematical Optimization developers.

How much does a freelance Mathematical Optimization developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Mathematical Optimization developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Mathematical Optimization developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Mathematical Optimization developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Mathematical Optimization developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Mathematical Optimization developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Mathematical Optimization developers, check out our FAQs page.

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