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171 top Exploratory Data Analysis developers available to hire:

Exploratory Data Analysis developers in Canada - Saksham D.
Saksham D.

Exploratory Data Analysis developer in Canada (UTC-8)

Experienced Data Professional with 8 years of experience in Fintech, E-commerce and IT.

Exploratory Data Analysis developers in Canada - jayant P.
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jayant P.

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

I am a software engineer with 9 years of experience in translating client requirements into end-to-end machine learning systems. Skilled in problem-solving, data modeling, and various technologies including Python, Scala, and Git.

Exploratory Data Analysis developers in Canada - Saurabh S.
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Saurabh S.

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

Data-driven professional with over three years of experience in cybersecurity at Quick Heal Technologies. Skilled in Java, Python, and data analysis. Holds a master’s degree in software engineering from Concordia University, Montreal. Core Skills: Collaboration, Organization, Teamwork, Consistency, Analytical, Conflict Resolution.

Data warehouse • 2 yrsData modeling • 2 yrsData Migration • 1 yrsData analysisMalware AnalysisSQLETLPythonPower BIJavaSAP S/4HANAExcelNetsuite consultantElasticsearchWiresharkResearchFiddlerVulnerability AssessmentPostmanNetwork Penetration TestingAWS
+14
Exploratory Data Analysis developers in Canada - Fernando F.
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Fernando F.

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

Tech founder, SQL expert, Data engineering expert, internationally awarded and recoginized data expert. Fernando has been consulting with startups from pre-seed all the way to Fortune 100 companies for the past 20 years. He is a college professor and mentor to various founders and tech ecosystems.

Exploratory Data Analysis developers in Canada - Amine J.
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Amine J.

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

Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.

Exploratory Data Analysis developers in Canada - Fadi A.
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Fadi A.

Vetted Exploratory Data Analysis developer in Canada (UTC-8)

`Senior Software Architect with 18+ years of experience in enterprise architecture, data governance, and technology roadmap development. Specialized expertise in designing and implementing scalable API solutions and data management systems. Skilled at facilitating technical design discussions with a proven track record of leading highly collaborative engineering teams and driving enterprise-wide technology initiatives.`

Exploratory Data Analysis developers in Canada - Mark L.
Mark L.

Exploratory Data Analysis developer in Canada (UTC-8)

I hold a Master's in Data Science and Analytics, specializing in Health Data Science and Biostatistics. My experience includes developing R Shiny dashboards for PepsiCo, analyzing data for Orange Juice Gaming, and working as a Data Scientist at the University of Calgary Center for Health Informatics. I have expertise in Python, R Studio, R Shiny, SQL, and various developer tools and technologies.

Exploratory Data Analysis developers in Canada - Ramesh M.
Ramesh M.

Exploratory Data Analysis developer in Canada (UTC-5)

Experienced Data Scientist with over 3 years of expertise in data analytics, machine learning, and model building, focusing on addressing challenges in cybersecurity and healthcare. Demonstrated success in optimizing algorithms, enhancing cybersecurity measures, and improving healthcare outcomes.

Exploratory Data Analysis developers in Canada - Frankline O.
Frankline O.

Exploratory Data Analysis developer in Canada (UTC-4)

Data Scientist with 5+ years of experience in data analytics, machine learning, Experimental design, and AB testing. Strong experience implementing and productionization measurement methodologies for AB testing, developing end-to-end machine-learning algorithms, and manipulating large datasets using Spark. I have a strong understanding of statistical analysis, quantitative research methodologies, and predictive modeling techniques with experience in evaluating and optimizing AI models for performance, accuracy, and scalability. I have a proven ability to engage with stakeholders to gather requirements and communicate business updates effectively.

Exploratory Data Analysis developers in Canada - Armel T.
Armel T.

Exploratory Data Analysis developer in Canada (UTC-5)

AI/ML/GenAI Leader driving innovation at the intersection of AI, Software Engineering, and Human-Centered Design, specializing in Conversational AI (NLP, LLMs, Conversation Design), Generative AI, and Cloud solutions. With a strong academic background (PhD in AI) and hands-on industry experience, I excel at transforming complex challenges into tangible business value (e.g., increase in virtual bot adoption, containment rate, customer engagement, and satisfaction). Delivery-focused AI Architect, I craft intelligent agents that leverage ML, Gen AI, RAG, and User-Product Alignment Research to deliver exceptional user experiences. Technical writer and reviewer with a passion for mentorship, I am constantly learning and giving back, whether creating versatile AI systems or guiding future generations. Certified Scrum Master, Google Cloud Machine Learning Engineer, and Oracle Cloud Generative AI Engineer, I am seeking a challenging role where I can combine my triple expertise in AI Engineering, Applied AI Research, and Mentoring to drive cutting-edge projects in ML and Gen AI.

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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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Exploratory Data Analysis developers
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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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