Mentoring for Data Scientists and AI/ML Engineers Who Decided to Own Their Career

1:1 mentoring for Data Scientists and AI/ML Engineers

Do the work you love. Get the reward you deserve.

You love analyzing data with algorithms, and you're good at it. But that's not what decides who gets the meaningful projects, the bigger scope, or the promotion. Something else decides that, and almost nobody teaches it.

Richard Dobis · LinkedIn

The chain that pulls you up: business impact, trust, authority.

Break one chain link and your whole reward is just words.

Between finishing an analysis and being rewarded for it, three things have to happen. First the business has to act on your work, and that is business impact. Then people have to understand what changed and who made it happen, and that's how trust gets built. And once the trust is there, they start bringing you in before the next problem is even defined. That is authority, and it compounds, because the earlier you're involved the bigger the next impact can be.

These three work like a chain that pulls you to the next career step, and one weak link stops the pull. Nobody tells you it is happening, because good work at your current level suits everyone. The tasks keep coming and the praise keeps coming, and eventually you notice your career hasn't moved.

Whichever chain link broke, it traced back to value.

The value was never created, never captured, or never explained.

Look at what fails, and it's the same thing three times. 

No business impact? The problem wasn't worth solving. Or it was, and the business never acted on what you gave them. You missed to deliver business value, or it was never captured.

No trust? Trust is personal. It attaches to a name, and only when someone can say what changed because of that name. If nobody can, the impact counts for nobody.

No authority? Early invitations go to people trusted to deliver impact. Then you're not a resource anymore. You're the partner they think with before the problem is even defined.

Impact, trust, and authority are what move your career. None of them hold up if the value underneath is missing, uncaptured, or misunderstood.

Why nobody ever taught you this.

Nobody tells you how to create value. Either they teach something else that also matters, or they've never been inside the rooms where this gets decided, or they know it but can't explain it in a way that fits an analytical mind.

A technical course sharpens the analysis. That's the part you're already good at. 

A career coach helps you work out what you want next. Useful, and deliberately domain-free. They can't tell you what counts as value in a forecasting project, because they've never sat in one.

A communication or executive presence coach improves how you position what you're already delivering. They take people who are producing value and help them speak and negotiate better. 

Your manager teaches you about the gaps they once had. That's honest and it's often good advice. It just isn't your gap. Everyone's weakest link is different. 

And even when people who are genuinely good at this try to explain it, you realize they know it by instinct. They can do it. They can't break it down. So the advice arrives as a slogan. Be more strategic. Bring actionable insight. Know your audience. Then it starts contradicting itself. Take ownership, and then you're stubborn. Escalate early, and then you're not handling it yourself.

So you'd have to ask. And in most workplaces, asking that kind of question gets you read as difficult, or as not senior enough. So you stop asking, and you start wondering whether the problem is you. It isn't. If you can find the balance between overfitting and underfitting a model, you can learn this. Nobody ever explained it in a way that fits your way of thinking.

My method: Impactful Analytics™ -  Trust and Authority Engineering

The guide on how to create value, capture it, and make it understood.

Twenty-five years in consulting and leading teams taught me the unspoken rules, trade-offs, dynamics, and mental models behind how careers actually move. Nobody writes these down, so I learned them the slow, hard way. Once I had the pieces together, it worked. I made senior director, earned ML patents and an international AI award, and led teams of 50 data scientists and more.

I put all of it into one systematic method. Nine chapters. Each one covers a different area of the job, from choosing the right problem to being trusted with the decision. Each comes in three flavors, for junior, senior, and leader. Inside every chapter: the rules, the trade-offs, the models. 

Modular by design. You go straight to the chapter your weak link sits in, and skip the eight that aren't costing you anything. 

The people I've worked with, in their own words.

"Richard was really instrumental for me in shaping my career and to help to grow as well. And also, he coached me how to work with my people in my team to enable their careers. "

Pavel

"And here's the thing, his mentoring wasn't just smart, it was human, it was honest, it was practical and execution based."

Rasti


"Richard is the right person to help anyone who trying to become a valuable data scientist."

Hector

"I would highly recommend his insights on leadership and career growth, honour and empathy."

Ebele


"What stood out was how practical and execution-focused his mentorship was."

Eunice


Ready to move? Pick one.

Request a free Career Impact Session

Forty minutes on your situation. You leave with a written plan and your first corrective move.

Ask me anything you want

Just a few sentences about where you're stuck, and I'll tell you honestly what I think.

Assess your own situation

Work out whether you need mentoring at all. The questions I would ask myself in your position.

Richard Dobis, mentor for data scientists and AI/ML engineers on career growth

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richard.dobis@dobismentoring.com