The-Almost-Astrophysicist
The speaker in the video discusses the five important aspects of being a data scientist, including the need for constant learning and the ability to communicate complex models to non-technical stakeholders. She notes that the pay for data analysts and scientists varies widely across different industries and job roles, with quant finance being the most lucrative. While entry-level salaries for data science roles can range from $70k to $130k, depending on location and the industry, switching jobs every two years can lead to a 50% increase in salary over time. The speaker also shares her personal salary growth and emphasizes the importance of being curious and willing to learn as essential traits for data scientists.
Priya, a senior data scientist, provides insights on learning data science from scratch and divides it into seven sectors: data processing, SQL, basic programming in Python, algorithms, modeling, data visualization, and math. She also shares her project experiences in the tech industry and offers a curated data science guide with cheat sheets. Priya advises learners to focus on pre-programming, working on projects, and understanding experimental design basics. She concludes that one should start as a jack of all trades, specialize on the job, and recommends free resources like textbooks, cheat sheets, and fun projects, and to not feel overwhelmed and take it step-by-step.
Follow Priya, a data scientist at Drizzly, a startup under Uber, as she juggles between five meetings during the day. Priya highlights the importance of keeping all stakeholders informed to ensure that her models provide value with data. She attends several meetings with leadership and other data scientists to discuss where data science fits into the company’s goals and priorities and to explore cross-functional use cases. Priya spends the rest of her day working on a forecasting project, visualizing her model’s output, catching up on work, cleaning her house, and attending a Metallica concert.
This YouTube video on "what it's actually like working from home as a Data Scientist" explores the advantages and disadvantages of working remotely. While having flexibility, unlimited PTO, and the ability to travel and spend time with family are some of the perks, career progression can be a challenge due to the lack of visibility and recognition. The YouTuber suggests taking the initiative to communicate and advocate for your work by having strategic meetings with the manager, maintaining accountability and structure, and cultivating human connections with colleagues. Additionally, maintaining a work-life balance by having a morning routine, spending time outdoors, and maintaining personal connections outside of work is crucial.
The video discusses the different types of data science interview questions that candidates can expect to encounter. These include coding assessments, behavioral questions, technical questions, case studies, take-home assessments, and final round presentations. The video provides examples of questions for each type and offers advice on how to prepare for them. The final round presentation may require candidates to tailor their report to different stakeholders such as product managers, data scientists, and software engineers. The video concludes by summarizing the different interview categories and inviting questions and video ideas from viewers.
In the video, Priya, a data scientist, discusses various factors that can impact a data scientist's salary, including location, experience, education level, and industry. Salaries in places like San Francisco are much higher, with experience and education level being other significant factors. Priya notes that salary progression in data science can be rapid, with example stories of real-world employees. The speaker considers companies like Facebook and Netflix to be the highest-paying tech companies, with an expected salary range of $140,000 to $212,000 depending on merit. With the growing value that data scientists bring, it is reasonable to anticipate a salary of $200,000 to $250,000 in the fourth year of work. Priya provides advice to negotiate top range listed on websites like Glassdoor and switch companies every two years to increase salary and find the best fit.
The speaker, a data scientist, highlights two common reasons why individuals fail at being good data scientists. Firstly, many data scientists don't involve themselves in consulting or advocating for their projects and limit their growth, and secondly, many have difficulty communicating complex concepts and business value to non-technical stakeholders. The speaker stresses that being a good data scientist requires one to continually learn, understand data infrastructure, build models, and communicate work effectively. They recommend seeking out different projects and feedback, as well as emphasizing the importance of enjoying the role and feeling like one is making an impact.
The video is about creating the perfect Data Science resume. Non-negotiables include making it a one-page, well-designed and professional-looking document, not lying or exaggerating about work experience or technical skills, and being specific and clear when describing work experience. The speaker recommends that work experience should make up 40% of the resume, tailoring it to the specific job description, and detailing important projects. They also emphasize the importance of a technical skills section that highlights unique skills and abilities as well as a section on personal interests which can demonstrate the candidate's entrepreneurial side and distinguish them from other applicants.
This video provides a step-by-step guide on how to fill out the FAFSA application form and maximize aid. The FAFSA is a critical form that needs to be submitted to be eligible for federal and institutional aid and is processed on a first come, first served basis. The video advises against over-reporting income, which reduces the chance of receiving more financial aid. The speaker explains the importance of accurately reporting household information, school codes, and necessary income while emphasizing the need to send the FAFSA as soon as possible. The speaker also advises reportable income only, with additional non-reported income. It is good to note that one can make amendments later on if need be.
The video creator provides a tour of her newly purchased downtown Chicago condo, which includes a stone entryway, bookshelf section, large living room with oversized windows and an expensive mirror. She also notes things that need to be completed, such as painting and adding plants. The condo was purchased for $235,000 with additional closing costs and a 10% down payment. The creator pays a mortgage of 3.15% and $1,308 which includes property taxes, mortgage insurance, and HOA fees. She believes it is cheaper than renting a similar space in this part of Chicago. The apartment lacks natural light but has a functional layout and is around a thousand square feet.
