Dataaxy

The place to find top curated data and AI jobs. We're reversing the job hunt game: We're not just about finding jobs, we're about making jobs find you 🪐

[Dataaxy @dataaxy]

For your next SQL project, include a duplicate record, a missing value, and a late arrival. Explain what your query should do with each. Give the reviewer something specific to inspect.

[Dataaxy @dataaxy]

Dataaxy Job of the Day: Senior Engineer, Research-to-Product Perception (R6022) at Shieldai in San Diego, CA. Drive machine learning innovation from research to production. On-site, Full-Time. #MachineLearning #AI

https://t.co/A0WrUXwJQh

[Dataaxy @dataaxy]

Ask your future manager: “Tell me about a recent analysis that changed a decision.” Follow up with what changed and who acted on it. You want to understand how the team's work gets used.

[Dataaxy @dataaxy]

Dataaxy Job of the Day: Business Intelligence Analyst. Leverage Snowflake for data analytics in Menlo Park, CA. Full-time opportunity for skilled professionals. #DataAnalytics #Snowflake

https://t.co/XyyIpedN7A

[Dataaxy @dataaxy]

Hiring for a data role? Share the interview stages, expected time commitment, and what each stage assesses before candidates begin. Give people enough information to decide whether they can take part.

[Dataaxy @dataaxy]

Dataaxy Job of the Day: Machine Learning/AI Engineer at Mindmoves. Full remote contract role in the US. Perfect for AI Engineering specialists. #AI #MachineLearning

https://t.co/syN4pBVJ5V

[Dataaxy @dataaxy]

Which part of your last data project would you happily do again: framing the question, building the pipeline, exploring the data, or explaining the result? Use that answer to choose what to explore next.

[Dataaxy @dataaxy]

Dataaxy's Job of the Day: Research Scientist, Scaling RL at Periodic Labs in Menlo Park, CA. Focus on AI Research. Full-time, no remote. #AI #MachineLearning

https://t.co/HnN8DV1xyg

[Dataaxy @dataaxy]

Give your portfolio project a handover test: could someone else run it, understand the output, and spot its limits without calling you? Try it with a friend before sending the link.

[Dataaxy @dataaxy]

Before joining as the first data hire, ask who will help you get access to the data, set priorities, and resolve conflicting requests. Then ask which of those responsibilities will fall to you.

[Dataaxy @dataaxy]

You do not need certainty before applying. You need enough evidence that the
role is worth a conversation.

Check the work, the hard constraints, and the plausible fit. Let the interview
resolve what the job post cannot.

[Dataaxy @dataaxy]

Start a Data or AI job post with the problem this person will own.

Then explain the team, constraints, and outcomes. The tool list belongs after
the work, because tools only make sense in context.

[Dataaxy @dataaxy]

A new job title does not always describe a new profession.

Compare the responsibilities, outputs, and required judgment with roles you
already know. Sometimes the market changed. Sometimes only the label did.

[Dataaxy @dataaxy]

Two salary ranges are not comparable until you check location, seniority,
currency, employment type, and total compensation.

Treat the headline number as a starting point, not the whole offer.

[Dataaxy @dataaxy]

An AI demo proves that the happy path worked once.

A stronger project also shows evaluation, failure cases, cost or latency
trade-offs, and what happens when the input is messy. Reliability is part of
the work.

[Dataaxy @dataaxy]

One interview question can reveal a lot about a role:

“What would good progress look like after 90 days?”

Listen for a concrete problem, realistic scope, and who will help you get
there.

[Dataaxy @dataaxy]

Your Data & AI experience should be understandable before a recruiter sends
a message.

A Dataaxy public profile can show your skills, preferred roles, availability,
and work setup in one place: https://t.co/fWlZlNMavn

[Dataaxy @dataaxy]

Dataaxy's Job of the Day: Machine Learning Engineer, Detection (NY) at Doppel. Hybrid, full-time role in San Francisco & New York. #MachineLearning #AI

https://t.co/wgfDtYdrMY

[Dataaxy @dataaxy]

A useful recruiter introduction answers three questions quickly:

Why this person? Why this role? Why now?

If the message could be sent unchanged to fifty people, it is not yet specific
enough.

[Dataaxy @dataaxy]

Dataaxy Job of the Day: Senior Software Engineer - Full Stack at Pano AI. Remote/Hybrid opportunity in AI Engineering. #AI #SoftwareEngineering

https://t.co/xjoa4B3obU