Home Artificial Intelligence I Spent $675.92 Talking to Top Data Scientists on Upwork — Here’s what I learned My Seek for Mentorship Entrepreneurs are on Upwork What got you into Data Science? How did you begin freelancing? How do you use now? How do you get recent clients? Where is that this going? My 4 Takeaways Resources

I Spent $675.92 Talking to Top Data Scientists on Upwork — Here’s what I learned My Seek for Mentorship Entrepreneurs are on Upwork What got you into Data Science? How did you begin freelancing? How do you use now? How do you get recent clients? Where is that this going? My 4 Takeaways Resources

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I Spent $675.92 Talking to Top Data Scientists on Upwork — Here’s what I learned
My Seek for Mentorship
Entrepreneurs are on Upwork
What got you into Data Science?
How did you begin freelancing?
How do you use now?
How do you get recent clients?
Where is that this going?
My 4 Takeaways
Resources

Probably the most striking observations from these calls is that no two data science freelancer journeys were the identical. Just to offer a way of this, listed here are the tutorial backgrounds of the ten freelancers I spoke with Biomedical Engineering, Industrial Engineering, Biostatistics, Electrical Engineering, Computer Science, Finance, Physics, Data Science, Marketing, AI, Economics, Math, MBA, and DS Bootcamp.

Notice there are more backgrounds here than interviews, that is for 2 reasons.

  1. Most had training beyond a bachelor’s degree, and
  2. No 2 out of the ten freelancers had the identical exact training

The latter point is one in all my favorite points of information science. It’s a field that pulls a wide selection of perspectives and experiences, which makes for very interesting conversation and collaboration.

This is very important to consider when reading this text. The range in backgrounds extends to how freelancers operate and where they’re headed. Put simply, different is the norm here.

While each freelancer’s start was unique, there was a standard starting strategy that got here up a couple of times. Within the early days, many freelancers tended to have a strong give attention to learning and popularity constructing.

There may be more to data science freelancing than simply the “hands-on-keyboard” work. Not only do you’ll want to do data science, but you furthermore may must sell yourself, juggle clients, manage your financials, etc.

A typical way freelancers navigated this was to tackle a (relatively) high volume of small projects within the early days. Not only does this provide several repetitions to learn from, but having an extended list of successfully accomplished projects (with testimonials) creates credibility and makes it easier to get recent clients.

While this “small-and-wide” strategy was great for getting began, it didn’t appear to be a standard (or good) long-term strategy.

Consistent with the “different is the norm” theme, there was a large mixture of how these freelancers currently worked and got paid. Listed below are a couple of examples to offer you an idea of this.

  • Freelancing full-time
  • Freelancing part-time while pursuing a side enterprise
  • Working full-time role while freelancing on the side
  • Full-time contract role (1099)
  • Transitioning out of freelance right into a full-time role (W2)

This highlights the flexibleness of freelancing. It allows professionals to tailor their work to what works best for them.

For many who weren’t in search of full-time work, it was common to limit the weekly time commitment for every client. 10 hr/week per client gave the impression to be a sweet spot, with a typical variation between 5–20 hr/week. With this time allotment, freelancers would typically have 2–3 clients at a time.

There have been 3 common ways the freelancers got recent clients. The first and most typical way was applying for contracts on Upwork or other sites.

The second way was via inbound leads (i.e. clients found them) on Upwork or other platforms. This occurred most frequently for those with an important popularity, an inventory of testimonials, or a robust presence on social media.

Finally, the third way (which was common for essentially the most successful freelancers) was getting work from referrals alone. This looked as if it would occur when there was far more demand from clients than the freelance could supply (which also naturally drove up prices.)

Each freelancer had a novel vision for his or her future. Nevertheless, to make this more digestible, here I partition the long-term goals into 3 buckets.

Keep Freelancing & Scale Up Consulting Business

The primary bucket includes those that may see themselves freelancing ceaselessly. They enjoy it, and it gives them a pleasant life. They work after they want, on what they need, with who they need, and where they need.

Also, on this bucket, I put those who wish to scale up their consulting business. This tends to occur organically for individuals who have an excessive amount of work than they will do alone and who enjoy project management. For a lot of, this is so simple as having subcontractors that they work with incessantly and even full-time employees.

Generate Passive Income & Construct a Product-Oriented Company

Although freelancing provides tremendous freedom and might be lucrative, it still mainly consists of trading time for money e.g. I pay you an hourly rate to do a job. While this isn’t so bad, most would somewhat trade a little bit time for lots of money e.g. you construct a product once and sell it again and again.

That is the second long-term goal bucket which lumps together generating passive income with constructing a product-oriented business. While these are technically different, they each can serve the identical purpose: generating more value in less time.

Some freelancers planned to do that by creating online courses or other digital products. A handful of freelancers were actively constructing trading bots or other trading tools for private use.

Others considered constructing software solutions tailored to mid-size corporations or specific industries by leveraging their freelance experience and clientele. While I haven’t yet personally seen a successful realization of this latter idea, I’m optimistic about it.

Transition to a Full-time Role

While freelancing offers flexibility and independence, some freelancers may eventually transition into full-time roles. Some even consistently cycle out and in of full-time roles. A couple of reasons for this from people who I interviewed were: you possibly can make a much bigger impact at an enterprise, more social interaction and collaboration, more certainty and income stability, greater opportunities for profession growth, and a client becomes an employer.

These calls fulfilled the promise of mentorship that I used to be in search of in that they helped speed up progress toward my goals. While it’s hard to say how things will end up, I actually have a sense this may occasionally be among the best investments I made in my entrepreneurship journey. I’m looking forward to putting these learnings into practice and continuing to construct relationships with others on this space.

To wrap things up, listed here are the 4 key takeaways that I’ll keep top of mind for future freelancing endeavors.

  1. Do good work so you possibly can operate on popularity and referrals. If people come to you, you will have greater leverage and optionality to assist make sure the work and clients you’re taking on are aligned together with your goals.
  2. Find a distinct segment. Selecting a distinct segment can assist make you a giant fish in a small pond. Listed below are some niches that got here up in my interviews: finance, crypto, energy, OCR, LLM applications, and data strategy.
  3. Form alliances across the tech stack. Data science work alone might be limited in its business impact and value generation. This is the reason forming relationships with other specialists (e.g. SWE, web dev, UX/UI, etc.) can show you how to provide greater value to your clients.
  4. Develop a private brand. Having a robust brand presence on social media platforms could make it easier to land freelance contracts by supplying you with credibility. Moreover, sharing helpful content and showcasing your expertise can assist ideal clients find you (versus you having to seek out them).

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