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103 top Exploratory Data Analysis developers available to hire:

Exploratory Data Analysis developers in Colombia - Maryam C.
Maryam C.

Exploratory Data Analysis developer in Colombia (UTC-5)

Hi! My name is Maryam. I'm a seasoned embedded systems engineer with a rich background in signal processing, FPGA firmware development, hardware architectures and computer vision. I have a Master's degree in Engineering, specializing in Optics, regarding spectroscopy and electronic techniques involved in photon counting. I've honed my skills in both academic and practical settings. In addition, I've contributed to academic papers, patent applications, partnerships and commercial products, underscoring my capability to participate in projects from conception to marked-ready products. My recent role as a data engineer involved learning about software development practices as well as CI/CD processes, and mastering Python. This experience led me to complement my knowledge in embedded systems. In previous roles, I contributed to projects in Electronics, delivering innovative solutions that ranged from developing IoT devices to image pattern detection algorithms. In addition, I led a project regarding the elaboration of two dynamic hand gesture human-computer interfaces, proposing the entire hardware, firmware and software workflows. I'll be excited to bring my expertise in embedded systems and firmware development to where I can contribute to cutting-edge technologies and innovative solutions.

Data AnalysisCEmbedded Firmware DevelopmentPythonDebuggingPCB DesignFirmwareRtl/fpga designTensorFlowComputer VisionVHDLVerilogSQLGitVersion controlSignal ProcessingDockerETLPattern recognitionKiCadESP32Python PySideC#C++OpenCVBluetoothMachine LearningScipyRaspberry PiEmbedded LinuxImage Signal ProcessingInstrumentationProject RequirementsProject DefinitionProject EstimationEmbedded SystemsElectronic Circuit DesignElectronic DesignUnity3D Augmented RealitySignal processing r+dPyQt/PySideHardware developmentElectronics engineeringScikit-learnNumPyPhysicsPython 3LeadershipManagementHardware InterfacesC# unityHardware architectureEAGLE CADElectronic CircuitsFeature ModelingMachine Learning ResearchScientific ResearchPIC Microcontrollers
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Exploratory Data Analysis developers in Colombia - Ivan K.
Ivan K.

Exploratory Data Analysis developer in Colombia (UTC-5)

Data-driven professional with over 14 years of experience in oil and gas, specializing in data-driven analysis, asset optimization, and financial impact improvement. Proven record of leveraging data science to enhance operational efficiency, reduce costs, and drive profitability. Extensive expertise in optimizing asset utilization and implementing cost saving strategies. Skilled in using advanced data tools, machine learning, and visualization to support data-backed financial outcomes.

Data Science • 1 yrsFinancial AnalysisCost/benefit analysisMachine learningSQLPythonReportingDashboardsPredictive AnalyticsCost reductionPortfolio managementMaintenance mechanicalBudget optimizationReliability centered maintenanceResource management
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Exploratory Data Analysis developers in Colombia - Mateo B.
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Mateo B.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Hey there! I am Mateo, a software engineering generalist with over 5 years of experience. I have a strong foundation in web technologies and a passion for delivering high-quality software with a focus on collaboration and continuous learning, I am dedicated to staying up-to-date on the latest industry trends and approaches. I am excited to bring my skills and expertise to a team where I can make a positive impact and continue to grow as a developer.

Exploratory Data Analysis developers in Colombia - Carlos O.
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Carlos O.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).

Exploratory Data Analysis developers in Colombia - Jose L.
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Jose L.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Data Science Engineer with ten years of experience optimizing business processes using ML and Python, with background doing the complete implementation of custom ML components for Anomaly Detection and NLP.

Exploratory Data Analysis developers in Colombia - Glemiston S.
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Glemiston S.

Vetted Exploratory Data Analysis developer in Colombia (UTC-6)

Senior SAP & ERP Consulting and Management Professional who has dedicated the last 24 years to mastering the integration of IT, Data Governance, Business Processes, and Best Management Practices and Frameworks to deliver valuable and sustainable solutions to 45+ companies across 20+ countries around the globe. Profound knowledge and experience about the Data Migration and Conversion process in all project phases: · Design and definition of data standards, data objects, migration templates, and conversion rules. · Data gathering and extraction, data standardization, data conversion, documentation of procedures. · Cutover and Data Governance planning, preparation, sequencing, and role assignments. ·

Data Migration • 10 yrsData Cleansing • 10 yrsData Management • 4 yrsData governanceDataData IntegrationProject managementSAPSAP/ABAPSQLMigrationSAP S/4HANAETLTOGAFArchiMateEnterprise ArchitectureChange managementGovernanceSolanaTranslationIFSLogisticsSAP Process IntegrationSAP Warehouse Management
+17
Exploratory Data Analysis developers in Colombia - Camilo P.
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Camilo P.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

A multilingual Ph.D. in mathematics with 10+ years of professional experience in software engineering, data analytics, A.I., machine learning, business intelligence, research, and teaching.

Exploratory Data Analysis developers in Colombia - Mauricio G.
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Mauricio G.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Senior DataScientist and Data engineer with 7+ years experience in designing, developing, testing, and supporting enterprise data products in development and production environments for Publicis Group, one of the largest advertising companies in the world, and currently Disney. Skilled in cloud engineering, cloud databases, data warehousing, database design, requirements gathering, data product QA, and data pipeline design. Knowledge of EDA and modeling techniques for mlops, principally recommendations systems and deep learning pipelines.

Exploratory Data Analysis developers in Colombia - Alex B.
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Alex B.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Statistician and Systems Technician with 12 years of experience, initially in systems and later in analytics. Standing out not only in the capacity of data engineer, data analysis, ML modeling, and discussion of mathematical and/or statistical methods but also in the structural understanding of databases and advanced programming. These skills gave rise to providing an integral vision of the whole phenomena under investigation.

Exploratory Data Analysis developers in Colombia - John G.
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John G.

Vetted Exploratory Data Analysis developer in Colombia (UTC-5)

Senior Data Engineer with a solid background in Big Data and distributed computing for + 12 years, a good understanding of business requirements and best practices and experience building data ingestion, transformation, and analytics projects for different areas of knowledge like Compliance, asset maintenance, customer services (calls centers) and financial companies.

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Why clients hire Exploratory Data Analysis 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 an Exploratory Data Analysis 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 an Exploratory Data Analysis 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 Exploratory Data Analysis developers can help keep your website up-to-date.

How do I hire Exploratory Data Analysis developers?

To hire an Exploratory Data Analysis 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 Exploratory Data Analysis developers effectively and efficiently. Hire full-time Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Exploratory Data Analysis developers?

There are two types of platforms you can hire Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, consider niche platforms like Arc that naturally attract and carefully vet their Exploratory Data Analysis developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Exploratory Data Analysis developers.

Some factors to consider when you hire Exploratory Data Analysis 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 Exploratory Data Analysis developers for hire.

How do I write an Exploratory Data Analysis developer job description?

Writing a good Exploratory Data Analysis developer job description is crucial in helping you hire Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in an Exploratory Data Analysis developer?

The top five technical skills Exploratory Data Analysis developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers to keep up with evolving technology and requirements.

What kinds of Exploratory Data Analysis developers are available for hire through Arc?

You can find a variety of Exploratory Data Analysis developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Exploratory Data Analysis developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Exploratory Data Analysis 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 software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Exploratory Data Analysis 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 Exploratory Data Analysis developers?

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

Every Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, you can rest assured that all remote Exploratory Data Analysis 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 Exploratory Data Analysis developers on Arc?

Arc pre-screens all of our remote Exploratory Data Analysis developers before we present them to you. As such, all the remote Exploratory Data Analysis 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 Exploratory Data Analysis developer in 72 hours, or find a full-time Exploratory Data Analysis 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 Exploratory Data Analysis developers.

How much does a freelance Exploratory Data Analysis developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Exploratory Data Analysis developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, check out our FAQs page.

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