Senior Data Analyst
hace 1 mes
We are looking for talented individuals to take on exciting challenges in data analysis, statistical modeling, and creating data-driven solutions that drive business success.
About SiemensSiemens, S.A. de C.V. is a leading company dedicated to making lives better with new ideas and the latest technology around the world.
Our team is passionate about embracing change, working with curious minds, and re-inventing the future of work.
Job DescriptionThis is a great opportunity to join our team as a highly motivated and talented Data Scientist Intern. The ideal candidate will be passionate about data analysis, statistical modeling, and creating data-driven solutions that drive the success of our company.
- Perform complex data analysis to identify trends, patterns, and opportunities for improvement.
- Develop machine learning models for business decision-making.
- Collaborate with other teams to understand and define data analysis requirements.
- Prepare and clean data for analysis.
- Communicate analysis results effectively through reports and presentations.
- Stay abreast of the latest trends in data science and related technologies.
We offer a competitive salary of $65,000 per year, plus benefits and opportunities for career advancement.
- Freedom and a healthy work-life balance– Embrace our flexible work environment with flex hours, telecommuting, and digital workspaces.
- Solve the world's most significant problems – Be part of exciting and innovative projects.
- Engaging, challenging, and fast-evolving, cutting-edge technological environment.
- Opportunities to advance your career and mentorship programs on a local and global scale.
- Contribute to our social responsibility initiatives focused on access to education, access to technology, and sustaining communities and make a positive impact on the community.
- Participate in our celebrations, social events, and offsite business events.
- Opportunities to contribute your innovative ideas and get rewards for them.
- Diversity and inclusivity-focused.
To succeed in this role, you will need:
- Current student in Data Science, Statistics, Mathematics, Computer Engineering, or related field.
- Previous experience in data analysis and statistical modeling.
- Solid knowledge of data analysis tools such as Python, R, Pandas, Numpy, SciPy, Scikit-learn, Matplotlib, and TensorFlow or similar tools.
- Experience using machine learning libraries and frameworks.
- Ability to effectively communicate technical results to non-technical audiences.
- Strong problem-solving skills and attention to detail.
- Ability to work as a team and adapt to a constantly changing business environment.
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