title
Why I left my Data Science Job at FANG (Facebook Amazon Netflix Google)

description
HOW DO I GET A TECH JOB? ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 📚 Video courses from JomaClass: 🎓 New to programming? Learn Python here: https://bit.ly/joma_python 🎓 Learn SQL for data science and data analytics: https://bit.ly/joma_sql 🎓 Data Structures and Algorithms: https://bit.ly/joma_dsa 💼 Resume Template and Cover letter I used for applying to software internships and full-time jobs: https://resume.joma.io 💼 Interviewing for jobs now? Get access to interview question database, courses, coaching, and peer community today: https://www.tryexponent.com/?ref=joma 📱 SOCIAL MEDIA ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ https://www.instagram.com/jomakaze/ https://twitter.com/jomakaze https://www.facebook.com/jomakaze Some of the links in this description are affiliate links that I get a kickback from

detail
{'title': 'Why I left my Data Science Job at FANG (Facebook Amazon Netflix Google)', 'heatmap': [{'end': 60.289, 'start': 35.9, 'weight': 0.851}], 'summary': 'The author left their data science job due to non-standardized roles and team dynamics, explored software engineering for content creation, and discussed challenges in data science, emphasizing the importance of influence and soft skills, and using blind for career insights.', 'chapters': [{'end': 332.693, 'segs': [{'end': 60.289, 'src': 'heatmap', 'start': 17.848, 'weight': 0, 'content': [{'end': 24.453, 'text': 'Now, before I go into why I quit my job, I kind of have to re-explain what my role was as a data scientist.', 'start': 17.848, 'duration': 6.605}, {'end': 32.218, 'text': "And the reason why I have to re-explain it is because it's not as standardized as like software engineering which is.", 'start': 24.713, 'duration': 7.505}, {'end': 35.9, 'text': "I mean, I know I explained in a lot of videos, but I'm just going to do it again,", 'start': 32.218, 'duration': 3.682}, {'end': 39.783, 'text': 'just so that you can have the right context to understand why I quit.', 'start': 35.9, 'duration': 3.883}, {'end': 45.505, 'text': 'So basically, this was my job title at this company.', 'start': 40.423, 'duration': 5.082}, {'end': 47.825, 'text': 'And yeah, so you can read it.', 'start': 46.165, 'duration': 1.66}, {'end': 53.787, 'text': 'So in essence, in my words, a data scientist is usually put into a product team.', 'start': 49.026, 'duration': 4.761}, {'end': 60.289, 'text': "And usually in the product team, there's a product manager, there are software engineers, and there's a data scientist.", 'start': 54.127, 'duration': 6.162}], 'summary': 'Explaining the role of a data scientist in a product team and why i quit.', 'duration': 42.441, 'max_score': 17.848, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI17848.jpg'}, {'end': 122.954, 'src': 'embed', 'start': 95.489, 'weight': 2, 'content': [{'end': 99.453, 'text': 'they actually have the technical abilities to build the thing we actually want to build.', 'start': 95.489, 'duration': 3.964}, {'end': 103.556, 'text': "product managers, they're basically the leaders, or like the owners of the product,", 'start': 99.453, 'duration': 4.103}, {'end': 109.501, 'text': 'they decide what the product is going to do and also what the product should be doing.', 'start': 103.556, 'duration': 5.945}, {'end': 114.506, 'text': "basically, they have the vision and they're in charge of actually executing getting the done,", 'start': 109.501, 'duration': 5.005}, {'end': 118.289, 'text': "and you know they'll do whatever they need to do to actually ship a product.", 'start': 114.506, 'duration': 3.783}, {'end': 122.954, 'text': 'In some ways, you could think of them as like mini CEOs of a product or a feature.', 'start': 118.749, 'duration': 4.205}], 'summary': 'Product managers are like mini ceos, with vision and execution responsibilities.', 'duration': 27.465, 'max_score': 95.489, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI95489.jpg'}, {'end': 196.248, 'src': 'embed', 'start': 167.839, 'weight': 1, 'content': [{'end': 174.781, 'text': 'Now, because we have so much time to think, our job is to try to understand the product inside and out.', 'start': 167.839, 'duration': 6.942}, {'end': 178.262, 'text': "Technically, I'm not saying all data scientists do that,", 'start': 175.381, 'duration': 2.881}, {'end': 184.364, 'text': 'but I think that the fundamental role of a data scientist is to understand the product in and out better than anyone else.', 'start': 178.262, 'duration': 6.102}, {'end': 188.665, 'text': 'The reason is because, like I said, you have more time to think, you have more time in your hand.', 'start': 184.724, 'duration': 3.941}, {'end': 196.248, 'text': 'So basically we use data to try to understand exactly what the product needs and where the product should go in terms of the product direction.', 'start': 189.065, 'duration': 7.183}], 'summary': 'Data scientists aim to understand the product thoroughly and use data to drive product direction.', 'duration': 28.409, 'max_score': 167.839, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI167839.jpg'}], 'start': 0.99, 'title': 'Data science job and product development roles', 'summary': "Discusses the author's decision to quit their data science job, emphasizing the non-standardized nature of the role and the relationships within the product team. it also highlights the roles of product managers, engineers, and data scientists in product development, emphasizing their distinct responsibilities and the role of data scientists in providing insights and prioritizing product direction.", 'chapters': [{'end': 95.489, 'start': 0.99, 'title': 'Reasons for quitting data science job', 'summary': "Discusses the author's decision to quit their data science job at an unnamed company, highlighting the non-standardized nature of the role and the relationships within the product team.", 'duration': 94.499, 'highlights': ['The non-standardized nature of the data scientist role is emphasized, as it differs from software engineering and requires contextual understanding for the decision to quit.', "The structure of a product team, comprising product managers, software engineers, and data scientists, is outlined, providing insight into the author's work environment.", 'The author simplifies the roles within the product team, focusing on the fundamental responsibilities of software engineers and data scientists.']}, {'end': 332.693, 'start': 95.489, 'title': 'Roles in product development', 'summary': 'Discusses the roles of product managers, engineers, and data scientists in product development, highlighting the responsibilities and distinct focus of each role, emphasizing the role of data scientists in providing insights and prioritizing product direction.', 'duration': 237.204, 'highlights': ['Data scientists play a crucial role in providing insights and prioritizing product direction based on analytics, ensuring the team works on the most important things currently. Data scientists use data to understand the product needs, prioritize tasks, and provide insights to the team, thus ensuring the team works on the most important things currently.', "Product managers are likened to the 'mini CEOs' of a product, responsible for the vision, execution, and decision-making regarding the future of the product. Product managers act as the leaders of the product, making decisions on the product's vision, execution, and future direction, akin to 'mini CEOs' of the product.", 'Engineers are compared to video producers, responsible for building the product, while product managers handle non-video related tasks such as branding and communications. Engineers are likened to video producers, responsible for building the product, while product managers handle non-video related tasks such as branding, communications, and future planning.']}], 'duration': 331.703, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI990.jpg', 'highlights': ['The non-standardized nature of the data scientist role is emphasized, as it differs from software engineering and requires contextual understanding for the decision to quit.', 'Data scientists play a crucial role in providing insights and prioritizing product direction based on analytics, ensuring the team works on the most important things currently.', "Product managers are likened to the 'mini CEOs' of a product, responsible for the vision, execution, and decision-making regarding the future of the product.", "The structure of a product team, comprising product managers, software engineers, and data scientists, is outlined, providing insight into the author's work environment."]}, {'end': 583.998, 'segs': [{'end': 404.531, 'src': 'embed', 'start': 382.601, 'weight': 1, 'content': [{'end': 391.524, 'text': 'So I do think that sacrificing the first few years, trying to discover what you actually want is definitely beneficial for your career.', 'start': 382.601, 'duration': 8.923}, {'end': 392.705, 'text': "Hopefully, I don't know.", 'start': 391.885, 'duration': 0.82}, {'end': 393.125, 'text': "We'll see.", 'start': 392.805, 'duration': 0.32}, {'end': 396.346, 'text': "So I'm not saying, oh, by the way, I'm switching to software engineering.", 'start': 393.524, 'duration': 2.822}, {'end': 398.027, 'text': "I have a feeling that some people don't know,", 'start': 396.426, 'duration': 1.601}, {'end': 404.531, 'text': "but I'm not saying that software engineering is my true calling or that this is the final job that I want.", 'start': 398.027, 'duration': 6.504}], 'summary': 'Exploring career options in early years can benefit career growth.', 'duration': 21.93, 'max_score': 382.601, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI382601.jpg'}, {'end': 474.749, 'src': 'embed', 'start': 436.539, 'weight': 0, 'content': [{'end': 443.702, 'text': 'I thought that I was always a builder and you know I do like some aspects of data scientists, but you know I want to try to build stuff this time.', 'start': 436.539, 'duration': 7.163}, {'end': 448.645, 'text': 'Like I think at the core, my personality does fit more of a builder.', 'start': 444.122, 'duration': 4.523}, {'end': 450.566, 'text': 'You know, I do like building stuff, but yeah.', 'start': 448.865, 'duration': 1.701}, {'end': 451.386, 'text': 'So yeah.', 'start': 451.086, 'duration': 0.3}, {'end': 454.708, 'text': 'So those are the arguments of me wanting to become a software engineer.', 'start': 451.426, 'duration': 3.282}, {'end': 459.57, 'text': "So I'm going to talk about some things about why I don't want to be a data scientist anymore.", 'start': 454.728, 'duration': 4.842}, {'end': 469.587, 'text': 'So at least at my company, or my old company, the way you get evaluated, no matter what role you have, is how much impact you have.', 'start': 460.023, 'duration': 9.564}, {'end': 474.749, 'text': 'And basically, what impact means is did you have a positive contribution to the company?', 'start': 470.127, 'duration': 4.622}], 'summary': 'The speaker prefers to be a software engineer due to the desire to be a builder and have a positive impact on the company.', 'duration': 38.21, 'max_score': 436.539, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI436539.jpg'}, {'end': 538.94, 'src': 'embed', 'start': 490.199, 'weight': 4, 'content': [{'end': 504.352, 'text': 'like the fundamental roles basically how a data scientist can have impact in a company like that is by influencing the product direction.', 'start': 490.199, 'duration': 14.153}, {'end': 509.837, 'text': 'So for a data scientist using that scope of fundamental roles, A data scientist,', 'start': 504.552, 'duration': 5.285}, {'end': 518.443, 'text': 'how they can have impact is by making analysis or something such that it leads into actionable insight,', 'start': 509.837, 'duration': 8.606}, {'end': 524.109, 'text': "meaning that people will use that insight and then they'll take action towards it, and then it will benefit the company.", 'start': 518.443, 'duration': 5.666}, {'end': 525.31, 'text': "So that's impact.", 'start': 524.429, 'duration': 0.881}, {'end': 527.011, 'text': 'All right, so I have a few examples.', 'start': 525.63, 'duration': 1.381}, {'end': 530.714, 'text': "I'm just gonna read it out loud because I can't remember them.", 'start': 527.051, 'duration': 3.663}, {'end': 538.94, 'text': "So basically in a simple way, if your analysis convinced the engineers to build something and our metrics went up, That's impact.", 'start': 531.074, 'duration': 7.866}], 'summary': 'Data scientists can impact a company by influencing product direction and driving actionable insights that benefit the company, such as convincing engineers to build something resulting in improved metrics.', 'duration': 48.741, 'max_score': 490.199, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI490199.jpg'}], 'start': 332.753, 'title': 'Career exploration and challenges of being a data scientist', 'summary': 'Emphasizes the significance of exploring career options post-college and transitioning from data science to software engineering for content creation. it also discusses the challenges of being a data scientist, emphasizing the need to have a positive impact to avoid being fired.', 'chapters': [{'end': 454.708, 'start': 332.753, 'title': 'Career exploration and transition', 'summary': 'Highlights the importance of exploring career options in the early years post-college, prioritizing long-term career satisfaction, and the decision to transition from data science to software engineering for the opportunity to build and create content.', 'duration': 121.955, 'highlights': ['The importance of exploring career options in the early years post-college is emphasized, as it allows individuals to understand their true career preferences and priorities.', 'Prioritizing long-term career satisfaction is highlighted, with the consideration that sacrificing the first few years for self-discovery can be beneficial for future career fulfillment.', "The decision to transition from data science to software engineering is explained, with the desire to shift from analytics to content creation and building, reflecting the individual's aspiration to be a video producer and align with their core preference for creating and building."]}, {'end': 583.998, 'start': 454.728, 'title': 'Challenges of being a data scientist', 'summary': 'Discusses the challenges of being a data scientist in a company, highlighting the importance of having a positive impact, as exemplified through various scenarios, in order to avoid being fired.', 'duration': 129.27, 'highlights': ['The evaluation at the company is based on the impact, which is defined as having a positive contribution to the company, regardless of the role.', 'The fundamental role of a data scientist in having an impact is by influencing the product direction through actionable insights.', 'Examples of impact include convincing engineers to build something resulting in increased metrics, or convincing the product team to focus on a specific market with evidence of potential success.']}], 'duration': 251.245, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI332753.jpg', 'highlights': ["The decision to transition from data science to software engineering is explained, with the desire to shift from analytics to content creation and building, reflecting the individual's aspiration to be a video producer and align with their core preference for creating and building.", 'The importance of exploring career options in the early years post-college is emphasized, as it allows individuals to understand their true career preferences and priorities.', 'Prioritizing long-term career satisfaction is highlighted, with the consideration that sacrificing the first few years for self-discovery can be beneficial for future career fulfillment.', 'The evaluation at the company is based on the impact, which is defined as having a positive contribution to the company, regardless of the role.', 'The fundamental role of a data scientist in having an impact is by influencing the product direction through actionable insights.', 'Examples of impact include convincing engineers to build something resulting in increased metrics, or convincing the product team to focus on a specific market with evidence of potential success.']}, {'end': 913.098, 'segs': [{'end': 653.071, 'src': 'embed', 'start': 624.254, 'weight': 0, 'content': [{'end': 627.996, 'text': "And it's a lot more difficult to convince them to do what you wanna do.", 'start': 624.254, 'duration': 3.742}, {'end': 630.017, 'text': "So that's why it's a little bit harder.", 'start': 628.496, 'duration': 1.521}, {'end': 634.659, 'text': "And basically, if you have no influence, you don't have impact as a data scientist.", 'start': 630.657, 'duration': 4.002}, {'end': 639.982, 'text': 'Now, sometimes you might be lucky that your work is so good that your work speaks for itself, right?', 'start': 635.22, 'duration': 4.762}, {'end': 644.044, 'text': "But the reality is that in life that's not always the case.", 'start': 640.463, 'duration': 3.581}, {'end': 646.166, 'text': 'Sometimes you just have to be influential.', 'start': 644.465, 'duration': 1.701}, {'end': 653.071, 'text': 'basically, you have to have the skills to influence your peers, your engineering manager, the product manager.', 'start': 647.026, 'duration': 6.045}], 'summary': 'Influence is crucial for impact as a data scientist, as skills to influence peers and managers are necessary.', 'duration': 28.817, 'max_score': 624.254, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI624254.jpg'}, {'end': 706.431, 'src': 'embed', 'start': 684.486, 'weight': 4, 'content': [{'end': 694.078, 'text': "so I'm also still very inexperienced in understanding the work dynamics and also some office politics and stuff like that.", 'start': 684.486, 'duration': 9.592}, {'end': 694.799, 'text': "I'm still quite new.", 'start': 694.098, 'duration': 0.701}, {'end': 698.383, 'text': 'I mean, I did get better, but at the time..', 'start': 694.819, 'duration': 3.564}, {'end': 706.431, 'text': "That was what made me want to switch to software engineering because I felt like I wasn't ready to be a product leader on my team.", 'start': 699.384, 'duration': 7.047}], 'summary': 'Inexperienced in work dynamics, office politics, and team leadership, prompting switch to software engineering.', 'duration': 21.945, 'max_score': 684.486, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI684486.jpg'}, {'end': 770.883, 'src': 'embed', 'start': 744.885, 'weight': 2, 'content': [{'end': 750.567, 'text': "But basically what I'm trying to say is you want to be the guy who can solve everything with anything right?", 'start': 744.885, 'duration': 5.682}, {'end': 754.809, 'text': "Like if there's a problem, you're the guy to solve it, no matter if it's a technical problem,", 'start': 750.607, 'duration': 4.202}, {'end': 758.17, 'text': 'a business problem or like analytics problem and stuff like that.', 'start': 754.809, 'duration': 3.361}, {'end': 760.831, 'text': 'You want to be the guy that people can depend on.', 'start': 758.67, 'duration': 2.161}, {'end': 762.952, 'text': "And that's the person that I'm trying to be.", 'start': 761.291, 'duration': 1.661}, {'end': 768.354, 'text': 'And for now, the skills I want to work on are, you know, building skills like software engineer.', 'start': 763.832, 'duration': 4.522}, {'end': 769.174, 'text': 'So yeah.', 'start': 768.894, 'duration': 0.28}, {'end': 770.883, 'text': "I mean, I haven't done that in ages.", 'start': 769.642, 'duration': 1.241}], 'summary': 'Striving to be the go-to problem solver across technical, business, and analytics domains, aiming to build software engineering skills.', 'duration': 25.998, 'max_score': 744.885, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI744885.jpg'}, {'end': 807.19, 'src': 'embed', 'start': 782.453, 'weight': 1, 'content': [{'end': 790.18, 'text': "What else have I been doing? Yeah, so, you know, because I have so much time in my hands, I've been going to Blind a lot.", 'start': 782.453, 'duration': 7.727}, {'end': 795.425, 'text': 'Blind is this like anonymous forum app that you can check.', 'start': 790.901, 'duration': 4.524}, {'end': 796.666, 'text': 'You could check like gossip.', 'start': 795.865, 'duration': 0.801}, {'end': 805.469, 'text': 'So, basically, when I worked at like my company X, what I could have done is I could have gone to blind and see what other people were talking about.', 'start': 797.146, 'duration': 8.323}, {'end': 807.19, 'text': 'that also worked at company X.', 'start': 805.469, 'duration': 1.721}], 'summary': 'Using blind app to access anonymous forum for company insights.', 'duration': 24.737, 'max_score': 782.453, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI782453.jpg'}, {'end': 913.098, 'src': 'embed', 'start': 865.605, 'weight': 3, 'content': [{'end': 867.827, 'text': "I go to, you know, I'll go expert to learn some stuff.", 'start': 865.605, 'duration': 2.222}, {'end': 871.409, 'text': 'I use blind to understand how the interview process are like.', 'start': 867.867, 'duration': 3.542}, {'end': 872.95, 'text': 'I use a lot of these websites.', 'start': 871.809, 'duration': 1.141}, {'end': 879.814, 'text': 'So I feel like you know, instead of me answering all the questions for you guys, I should just give you the tools to answer these questions right?', 'start': 872.97, 'duration': 6.844}, {'end': 884.898, 'text': "So there's this quote you know what they say give a man a fish and you feed him for a day.", 'start': 880.074, 'duration': 4.824}, {'end': 891.863, 'text': "Teach a man how to use blind and they'll get into a career and buy organic fish from Whole Foods for a lifetime.", 'start': 885.378, 'duration': 6.485}, {'end': 894.966, 'text': "All right, that's all I have to say for today.", 'start': 893.024, 'duration': 1.942}, {'end': 896.327, 'text': 'Thanks for watching.', 'start': 895.306, 'duration': 1.021}, {'end': 913.098, 'text': "Peace Forgot that feeling The sun in my face, it's so well needed Life will take care of the rest Fuck it, let's put hair products.", 'start': 896.747, 'duration': 16.351}], 'summary': 'Encouraging use of blind for interview insights and career advice to empower others.', 'duration': 47.493, 'max_score': 865.605, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI865605.jpg'}], 'start': 585.501, 'title': 'Challenges of data science and using blind for career insights', 'summary': 'Highlights challenges of data science, including the need for influence and soft skills, and discusses using blind to gain career insights, such as job market discussions and utilizing online resources for learning and research.', 'chapters': [{'end': 782.433, 'start': 585.501, 'title': 'Challenges of data science', 'summary': 'Highlights the challenges of being a data scientist, including the need for influence and soft skills, and the decision to switch to software engineering due to lack of confidence and maturity, while aiming to become a versatile problem solver.', 'duration': 196.932, 'highlights': ['The need for influence and soft skills as a data scientist The success of a data scientist is influenced by the ability to influence peers and convince colleagues to implement ideas, emphasizing the importance of soft skills and office politics.', 'Decision to switch to software engineering The decision to switch to software engineering was driven by a lack of confidence, maturity, and readiness to be a product leader in the team, highlighting the challenges faced in the role of a data scientist.', 'Desire to become a versatile problem solver The aspiration to become an ultimate worker who can solve technical, business, and analytics problems, aiming to develop skills as a software engineer to achieve this goal.']}, {'end': 913.098, 'start': 782.453, 'title': 'Using blind for career insights', 'summary': 'Discusses using the anonymous forum app blind to gain insights into the job market, including discussions on company interviews, total compensation, and job transitions, as well as utilizing google and other websites for learning and research.', 'duration': 130.645, 'highlights': ['Using Blind as an anonymous forum app to gain insights into job market discussions, including company interviews, total compensation, and job transitions.', 'Utilizing Google and expert websites for learning and research purposes.', 'The chapter concludes with the idea of empowering individuals to find their own solutions by providing them with the necessary tools and resources.']}], 'duration': 327.597, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/M5v1nXiUaOI/pics/M5v1nXiUaOI585501.jpg', 'highlights': ['The need for influence and soft skills as a data scientist The success of a data scientist is influenced by the ability to influence peers and convince colleagues to implement ideas, emphasizing the importance of soft skills and office politics.', 'Using Blind as an anonymous forum app to gain insights into job market discussions, including company interviews, total compensation, and job transitions.', 'Desire to become a versatile problem solver The aspiration to become an ultimate worker who can solve technical, business, and analytics problems, aiming to develop skills as a software engineer to achieve this goal.', 'Utilizing Google and expert websites for learning and research purposes.', 'Decision to switch to software engineering The decision to switch to software engineering was driven by a lack of confidence, maturity, and readiness to be a product leader in the team, highlighting the challenges faced in the role of a data scientist.', 'The chapter concludes with the idea of empowering individuals to find their own solutions by providing them with the necessary tools and resources.']}], 'highlights': ['The non-standardized nature of the data scientist role is emphasized, as it differs from software engineering and requires contextual understanding for the decision to quit.', "The decision to transition from data science to software engineering is explained, with the desire to shift from analytics to content creation and building, reflecting the individual's aspiration to be a video producer and align with their core preference for creating and building.", 'The need for influence and soft skills as a data scientist The success of a data scientist is influenced by the ability to influence peers and convince colleagues to implement ideas, emphasizing the importance of soft skills and office politics.']}