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Data science
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Explore Top 5 Adaptable Remote Data science Developer Jobs

Data Engineer for Biotech startup (AWS data stack)

Israel
Last Updated: 16 May 2024

The innovative biotech medical & well-being startup, which develops in-clinic solutions for treating psychological, psycho-somatic, and other disorders, enhancing sleep quality & wellness, is looking for a Data Engineer to build its Cloud Data Platform which will aggregate, process, and analyze clinical session data, de-personalize. patient information. We are currently developing software for the intersection of medical technology, data engineering, and applicability and integrating third-party sensors into our devices.

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Amazon Web Services (AWS)

Amazon Web Services (AWS)

Senior Data Engineer

Ukraine
Last Updated: 16 May 2024

- Start: ASAP - Duration: 3 months, full-time - Overlapping (80%) with USA time (EST) is required for this role, so the candidate should be ready & flexible to work in the client's time zone - Interviewing process: Hackerrank test, Technical Interview, Client Interview - Locations: Ukraine, Poland, Bulgaria, Romania - Local PE in one of the indicated locations is needed to sign a B2B contract.

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Python

Python

Microsoft Power BI

Microsoft Power BI

Search Engine Optimization (SEO) Expert

Ukraine
Last Updated: 24 Apr 2024

Outsourcing & Team augmentation agency (alternative to Upwork, Toptal, and Turing) is looking for SEO expert to promote platform users, company services and expertise. - Long-term (part or full-time) - Start ASAP - Upper-Intermediate English

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Google Search Console

Google Search Console

2x Data Science Engineers

Europe
Last Updated: 12 May 2023

- Experience working in a Data Science Engineering position; - Deep knowledge of R-based machine learning models; - Strong abilities with Azure Machine Learning; - Good experience working as an Azure DevOps engineer; - Location: European Union; - Duration: One year; - Start: May 2023; - English: Upper-intermediate.

R

R

Azure Machine Learning

Azure Machine Learning

Python/Data Engineer

Ukraine
Last Updated: 1 Mar 2023

Data Engineer, Full-time, Remote. Long-term, UA Team, UA Schedule

Python

Python   4 yr.

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Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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Henry Akwerigbe
Henry Akwerigbe
This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management. There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more. It gets even better because many projects even allow full remote from anywhere! Nice job to the Upstaff Team 🙌🏽.
Vitalii Stalynskyi
Vitalii Stalynskyi
I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog. When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly. Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.
Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
We've been with Upstaff for over 2 years, finding great long-term PHP and Android projects for our available developers. The support is constant, and payments are always on time. Upstaff's efficient processes have made our experience satisfying and their reliable assistance has been invaluable.
Roman Masniuk
Roman Masniuk
I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!
Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
I discovered an exciting and well-paying project on Upstaff, and I couldn't be happier with my experience. Upstaff's platform is a gem for freelancers like me. It not only connects you with intriguing projects but also ensures fair compensation and a seamless work environment. If you're a programmer seeking quality opportunities, I highly recommend Upstaff.
Volodymyr
Volodymyr
Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

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FAQs about Data science Developer Job

What are some high-demand data science jobs? Arrow

High-demand jobs in data science include being a data analyst or a data engineer. There’s also a need for those in machine learning and artificial intelligence. Jobs in big data, data visualization, or as a data scientist are also popular.

How can I navigate the data science job market? Arrow

To move through the data science job market, make yourself stand out. Keep up with what’s new in data science. Network with people in the industry and join relevant groups. Put your best work forward, whether that’s through projects or certifications.

What opportunities are available in data science? Arrow

There’s a world of chances in data science. You could look at jobs like data analysis or data visualization. Even internships can help you get started or move up in your data science career.

How can I unlock top data science jobs and careers? Arrow

To get the best jobs in data science, focus on your skills. Always learn about the newest tech and tools in data science. Try to get experience through jobs or by working on projects. Think about getting more education or certifications to boost your resume.

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Table of Contents

Want a career in data science? It’s a great time to jump in. More and more, companies use data to make decisions. So, the need for data experts is huge. This is true whether you’re just starting out or looking for a change.

Here, we’ll show you the top data science jobs available. You can be a data analyst or work on machine learning. We’ll talk about different roles and how to start a career in data science. It’s your chance to find amazing career paths.

Key Takeaways:

  • Data science offers a wide range of career options, including data analyst positions, machine learning careers, and artificial intelligence jobs.
  • Navigating the data science job market requires positioning yourself as a competitive candidate and staying updated with the latest trends.
  • Data science internships provide valuable hands-on experience and can open doors to full-time roles in the field.
  • Mastering big data job openings is crucial for advancing your career in data science.
  • Explore the various paths available in data science, from data visualization roles to exciting internship programs.

High-Demand Data Science Jobs

Data science is booming, and jobs in this field are hot. There’s a wide range of roles available, from data analysis to data engineering, machine learning, and artificial intelligence. Anyone who loves working with data can find their place in the industry.

Data Analyst Positions

Data analysts dive into big data to find answers. They’re skilled at interpreting complex data. Their insights help companies make data-informed decisions, making them key players for many businesses.

Data Engineering Opportunities

Data engineers work behind the scenes to set up data systems. They build and maintain databases, essential for handling large amounts of information. Their work is vital for making data-based strategy work well.

Machine Learning Careers

Machine learning is used in finance, healthcare, retail, and tech to make predictions. These experts develop models that learn from data on their own. Their skill is in high demand for finding patterns in big data.

Artificial Intelligence Jobs

AI is changing how businesses work by creating advanced technology solutions. Professionals in AI use various tools, like chatbots and autonomous systems. Their expertise is shaping our tech future.

Big Data Job Openings

With more data available than ever, companies need skilled people to understand it. This role involves looking for patterns and trends in massive sets of data. It’s about turning data into insights for better business decisions.

Data Visualization Roles

Data visualization makes complex data easy to understand. Specialists turn data into visual formats like graphs. This way, anyone can see and grasp important insights just by looking at a chart or graphic.

Data Science Internships

Internships are a great way for students and new data scientists to get started. They offer real-world projects and the chance to learn and grow. Interns often find job opportunities and build their careers from these experiences.

Data Scientist Positions

Data scientists are at the crossroads of business and data. They use their knowledge to solve complicated problems. Their skills in data mining, machine learning, and analysis make them prized assets across different industries.

Job TitleSkillsIndustry
Data AnalystData analysis, SQL, statistical analysisVarious
Data EngineerDatabase management, ETL, programmingTechnology, Finance, Retail
Machine Learning EngineerMachine learning algorithms, Python, TensorFlowFinance, Healthcare, Technology
Artificial Intelligence SpecialistNatural language processing, computer vision, deep learningTechnology, Healthcare, Retail
Data Visualization ExpertData visualization tools, storytelling, UX designVarious
Data Science InternData analysis, programming, problem-solvingVarious
Data ScientistStatistical modeling, machine learning, domain knowledgeFinance, Healthcare, E-commerce

Mastering the Data Science Market

To get high-paying jobs in data science and grow your career, you must understand the data science market. In this guide, we’ll give you the insights and strategies you need to be a top candidate. You’ll be ready to grab the many opportunities out there.

Staying Ahead of the Curve

Data science moves quickly. It’s vital to know the newest trends and tools. Stay updated by learning about the latest technologies and attending conferences. Networking online is also a great way to learn from experts.

Building a Strong Foundation

Having a strong base in data science is key. Brush up on your stats, Python or R, and managing databases. Learn about machine learning and how to show data in clear ways. Taking online classes can help you with that.

Refining Your Portfolio

Your portfolio shows why you’re the right person for a data science job. Be sure it shows projects where you tackled tough problems and worked with big sets of data. Make sure it covers a wide variety of real-life projects.

Networking and Building Connections

Making connections is important in data science jobs. Go to events, connect with people on LinkedIn, and join in on discussions. Talking to experts can help you learn more and find new job opportunities.

Showcasing Your Value

In job interviews, show how you can make a difference with your data skills. Talk about how you can find important insights in big data. Show that you can solve tricky problems and make decisions based on data.

Exploring Job Opportunities

Looking for big data jobs can be a lot. Start by finding the industries you like and are good at. Use job search sites and your network to find the right jobs. Make sure your resume talks about the skills each job wants.

Data Science Job BoardsPlatform Specialties
LinkedIn JobsGeneral data science job board with a wide range of opportunities
Kaggle JobsData science and machine learning job board with a focus on competitions and projects
DataYoshiData science job board with a focus on startups and smaller companies
GlassdoorJob board with company reviews and salary insights for data science positions

Checking these job boards often keeps you up-to-date on new data science jobs. It will help you find the best job out there.

Opportunities in Data Science

Data science offers many chances for those wanting dynamic and fulfilling jobs. You can explore data analysis, visualization, or internships to start or boost your data science career. You will find openings for a fascinating career in this growing field.

Data Analysis and Visualization Roles

Data analysts help find key insights in big data sets. They use stats and tools to spot trends and connections. This lets companies make smarter decisions in areas like finance, health, and more. Being able to turn complex data into useful info is a sought-after skill.

Jobs in data visualization are also becoming more important. Companies want to show their data in ways everyone can quickly understand. By using tools like Tableau and Power BI, data visualization pros make charts and graphs. These visuals help everyone involved make sense of the data.

Data Science Internship Programs

Internships are great for students or new grads interested in data science. They provide a chance to apply your skills in real projects. Working with professionals, you learn valuable lessons and grow your network.

These programs are available in various fields, like finance and tech. They involve real data tasks, giving you hands-on experience. Interning boosts your problem-solving and helps you start a career in data science.

OpportunitiesRoles
Data AnalysisData Analyst
Data VisualizationData Visualization Specialist
Data Science InternshipsIntern

Conclusion

As we wrap up, it’s clear that data science jobs are on the rise. There are so many opportunities for those interested in this field. To succeed, it’s important to keep learning about the latest trends.

Data science jobs can lead to a successful career. There’s a lot to do from data analysis to designing algorithms. With every company looking for data experts, the demand is high.

To stand out, keep learning and improving your skills. It’s a good idea to check out job postings and see what they’re looking for. Also, additional training can make you more appealing to employers.

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