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DataTalks.Club
Accelerating The Job Hunt for The Perfect Job in Tech - Sarah Mestiri
Feb 2, 2024
Sarah Mestiri, a data scientist and career coach, discusses supporting women in the data field, narrowing down focus when job hunting in tech, building relationships through informational interviews, researching companies and job requirements, applying for data engineering roles while taking a course, the value of sharing and engaging in the learning process, and discovering skills and learning resources.
53:04
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Quick takeaways
- Focus on skills and qualifications, not age, when transitioning to data science.
- Research target companies, connect with new contacts, and showcase skills to land a part-time role.
Deep dives
Transitioning into Data Science After a Career Break
If you're considering a career transition to data science after a break, it's important to focus on your skills and qualifications rather than your age. Highlight your practical projects and skills in your resume and LinkedIn profile to show your ability to deliver value to potential employers. Start sharing your learnings and experiences in the field, such as through blog posts or social media, to showcase your expertise and engage with others in the industry. Networking is key in finding job opportunities, so build connections with the right people in the data engineering field and reach out to both new contacts and existing connections who may be able to provide insights or referrals. Remember, applying for full-time positions first and then discussing part-time options later can be a more successful approach. Finally, stay focused on your career goals and keep learning and growing in the field of data engineering.
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