Emily Robinson, co-author of 'Build a Career in Data Science', shares expert tips on optimizing the data science job search, resume, and portfolio. She discusses recognizing fair compensation rates and early success in new roles, offering valuable insights for aspiring data scientists.
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Quick takeaways
Optimize job search with tailored resume, cover letter, and portfolio.
Stay adaptable and continuously learn to succeed in evolving data science field.
Effective communication and goal-setting essential for navigating challenges in data science roles.
Deep dives
Personal Background and Introduction to Data Science
The guest, Emily Robinson, a senior data scientist at Warby Parker, shares her journey into data science, starting with learning from Hadley Wickham in college and progressing through roles at Etsy, DataCamp, and now Warby Parker. Her academic background in decision sciences and organizational behavior laid the foundation for her transition into data science.
Collaboration and Book Co-authoring
Emily discusses the collaborative effort behind writing the book 'Build a Career in Data Science' with Jacqueline Nolis. The chance meeting and subsequent partnership formed at a conference led to the book's creation. Their diverse backgrounds and shared passion for scaling career advice culminated in a comprehensive resource for aspiring data scientists.
Diverse Paths in Data Science Careers
Emily reflects on the evolving landscape of data science careers, noting the influx of new entrants complicating the job market. With insights gathered from various data scientists, she anticipates shifts in the profession, emphasizing the importance of networking, continuous learning, and adaptability to navigate the dynamic industry.
Challenges and Expectations in Data Science Roles
Emily explores the multifaceted challenges faced by data scientists in new roles, emphasizing the need for clear communication and managing expectations with stakeholders. By setting realistic goals, maintaining open dialogue, and demonstrating adaptability, data scientists can navigate project failures effectively and drive positive outcomes amid uncertainties.
Continuous Learning and Development in Data Science
Emily shares strategies for ongoing personal development in data science careers, stressing the value of engaging in speaking engagements, contributing to open-source projects, pursuing online classes with practical applications, and participating in networking events. By embracing diverse opportunities for growth, data scientists can enhance their skills and adapt to industry trends.
Emily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.
Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.
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