Data Science

From Coffee to Coding! Top Data Science Jobs to Apply on Linkedin

Top Data Science Opportunities Worldwide: Apply Now

Written By : Samradni

Data science is an ever-changing area with a need for specialists all around the world who can utilize data. Companies such as Amazon and several international banks require data scientists. Here is a selection of the best data science jobs worldwide available.

1. Lead Data Scientist (Content, Feeds, Recommendation)

  • Organization: Binance

  • Location: Singapore

Job Description: Design and develop machine learning models to forecast and enhance business results. Liaise with business stakeholders to gather requirements and implement data-driven solutions. Perform an in-depth exploratory analysis of data to identify trends and patterns.

Requirements are a bachelor's or master's degree in computer science engineering or related fields, flexibility, and proficiency with Python, SQL, and machine learning algorithms. Inclusion to Azure and Tableau. Prerequisites for this role include excellent analytical and problem-solving abilities.

Apply Here: LinkedIn

2. Data Scientist

  • Organization: UST

  • Location: Bangalore, India

Duties: Create and integrate machine learning systems to enhance the customer experience. Use large data sets to uncover valuable insights and information and benefit the organization. Engage with other teams to facilitate the application of data science careers into operational workflows.

Requirements: Relevant bachelor's or master's degree, including but not limited to Computer Science and Engineering. Team-oriented & strong communication ability with some experience in data visualization tools or machine learning frameworks.

Apply Here: LinkedIn

3. Lead Data Scientist

  • Organization: Kadence

  • Location: United States

Job Description: Create and apply machine learning models relevant to intricate problems. Carry out analysis of data with the aim of discerning patterns and trends. Assist customers with adequately addressing the data requirements needed for the relevant solutions.

Requirements: Bachelor's or master's in engineering, computer science, or any relevant area. Mastery of machine learning algorithms, SQL, and Python. Familiar with data visualization tools and cloud platforms.

Apply Here: LinkedIn

4. Data Scientist

  • Organization: Harnham

  • Location: San Francisco, CA

Job Description: Conduct research and develop ML models that address relevant business problems. Extract useful information by analyzing massive data sets. Work with various departments to enhance the processes using data scientist position solutions.

Requirements: Applicants must possess either a bachelor's or master's degree in a course related to engineering or computer science. Team-oriented with strong communication skills and some experience in data visualization tools or machine learning frameworks.

Source: LinkedIn

Conclusion

Data scientist positions are in high demand globally, and jobs within many sectors and countries are available. From the seasoned data science expert to the new graduates, the world is filled with opportunities for growing one's career. It is possible to turn many of these positions into real steps toward growth in the data science profession. One can hardly see any data science vacancies due to the increased demand for data science in the market.

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