Welcome to Ericsson, a leading technology company that is shaping the future of telecommunications. We are currently seeking a highly motivated Data Science Intern to join our team and gain valuable hands-on experience in the fast-growing field of data science. As an intern, you will have the opportunity to work alongside our team of experienced data scientists and contribute to real-world projects that impact our global business. We are looking for individuals who are passionate about using data to drive insights and make a meaningful impact. If you are a curious and driven individual with a strong foundation in data analysis and a desire to learn and grow, we encourage you to apply for this exciting internship opportunity at Ericsson.
- Collaborate with experienced data scientists to understand business requirements and contribute to the development of data-driven solutions.
- Conduct thorough data analysis and utilize statistical techniques to draw meaningful insights from large datasets.
- Assist in the development and implementation of machine learning algorithms and predictive models.
- Prepare and present data insights and findings to stakeholders in a clear and concise manner.
- Contribute to the design and maintenance of data pipelines and databases.
- Stay up-to-date with the latest developments and advancements in the field of data science and bring innovative ideas to the team.
- Follow best practices for data management and ensure data privacy and security.
- Participate in team meetings and discussions to provide input and ideas for improving processes and projects.
- Take ownership of assigned projects and meet deadlines in a timely and efficient manner.
- Continuously learn and develop new skills and techniques through training and on-the-job experience.
Strong Analytical Skills: A Data Science Intern At Ericsson Should Possess Strong Analytical Skills To Be Able To Analyze Large Datasets And Draw Meaningful Insights From Them. This Includes Proficiency In Programming Languages Such As Python And R, As Well As Knowledge Of Statistical Analysis Techniques.
Familiarity With Machine Learning Techniques: Ericsson Is A Leader In The Telecommunications Industry And Relies Heavily On Machine Learning For Predictive Modeling And Optimization. Therefore, A Data Science Intern Should Have A Basic Understanding Of Machine Learning Techniques And Be Able To Apply Them To Real-World Problems.
Knowledge Of Data Visualization Tools: As A Data Science Intern, You Will Be Responsible For Presenting Complex Data In A Visually Appealing And Easy-To-Understand Manner. Therefore, Knowledge Of Data Visualization Tools Such As Tableau, Power Bi, Or Qlikview Is Essential.
Understanding Of Database Management: Data Is The Backbone Of Any Data-Driven Organization Like Ericsson. Therefore, A Data Science Intern Should Have A Basic Understanding Of Database Management Systems And Be Able To Work With Structured And Unstructured Data.
Strong Communication Skills: Data Science Is A Team Sport, And Effective Communication Is Crucial For Success. A Data Science Intern At Ericsson Should Possess Strong Communication Skills To Be Able To Collaborate With Cross-Functional Teams, Present Findings To Stakeholders, And Explain Complex Concepts In A Simple And Concise Manner.
Programming
Python
Data Analysis
Database Management
Big Data
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Data cleaning
Predictive analytics
R programming
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Problem Solving
Time management
creativity
Critical thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Data Science Intern in Plano, TX, USA is between $20,000 and $30,000 per year. However, this can vary depending on factors such as the company, the intern's level of experience, and the specific tasks and responsibilities of the internship.
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LM Ericsson Telefon AB provides telecommunications equipment and related services to mobile and fixed network operators globally. The company operates through three segments: Networks, Global Services and Support Solutions.
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