All open roles

Data Mentor / Data Career Coach

Location
Remote
Employment Type
Contract
Department
Mentorship
Compensation
$200 - $600 USD/month per mentee, plus performance bonuses

The role

You help experienced data professionals in the US and Canada land their next $100K to $300K role, faster and with less chaos. You own client outcomes end to end: skills roadmap, marketing, interview pipeline, interview skills, and the offer.

You coach mid to senior data professionals (DA, DS, DE, MLE) one on one, hold them accountable to a clear system, and use real data from their job search to re-plan every two weeks. If you love mentoring and enjoy turning messy job searches into clear systems, this is for you.

At a glance

  • Clients. 5 to 30 active mentees once you are ramped.
  • Who you coach. Mid to senior DA, DS, DE, and MLE professionals in the US and Canada targeting $100K to $300K roles.
  • Scope. Skills roadmap, portfolio and LinkedIn, lead generation, interviews, and negotiation.
  • Schedule. Fully remote and flexible, with agreed response times and some overlap with EDT for calls.

What you win on

  • Client NPS. Overall and by lead level.
  • Churn rate. Measured by package.
  • Milestones hit on time. Roadmap, marketing, interviews, and offers.
  • Referrals, upsells, and outcomes. High performance is rewarded with better client assignments, higher effective earnings, and more responsibility.

What you will own from day one

Client outcomes and accountability

  • Run 1:1 mentoring sessions and async reviews that set clear two-week action plans and translate the program into concrete daily and weekly tasks.
  • Keep clients on pace for the estimated timeline for their lead level.
  • Review and approve client work: roadmaps, trackers, outreach, and portfolio assets, plus interview prep, mock interviews, and negotiation plans.
  • Monitor pipeline and progress in our trackers, move clients between pipeline groups based on real interview data, and spot stuck patterns early so you can re-plan with them.

Communication, responsiveness, and churn prevention

  • Meet the agreed response times in Slack and other channels based on the client's package.
  • Use positive accountability: direct, kind, clear expectations, and follow-through.
  • Watch for risk signals: missed check-ins, repeated deadline misses, negative sentiment, or a drop in execution.
  • Escalate early to leadership and QA when a client is at risk of churning, partner on the save plan, and turn demoters back into promoters where possible.

Data, systems, and documentation

  • Keep client notes, action plans, and decisions up to date in our systems.
  • Log the milestones that matter: time to first interview, time to offer, and NPS over time.
  • Use that data to adjust the roadmap every two weeks, improve your own mentoring playbook, and feed insights back to the team.

Team collaboration and product improvement

  • Join mentor huddles, QA calls, and training sessions.
  • Share patterns and best practices so the whole team raises its bar.
  • Turn common 1:1 issues into scalable lessons, SOPs, or tools.
  • Own your performance: track your own numbers, request feedback, and propose experiments that improve outcomes.

Requirements

  • Proven experience in a data role (DA, DS, DE, MLE, analytics, or similar).
  • You have already managed, mentored, led, or coached others, formally or informally.
  • Comfortable giving direct, honest feedback while staying supportive.
  • Able to break complex topics like skills, interviews, and strategy into step-by-step actions.
  • Fluent with remote tools: Slack, Loom, Trello, Google Suite, Git.
  • Able to balance multiple clients while staying organized and calm.
  • Able to support a minimum of 5 mentees after the first 3 months, with interest in growing beyond that if performance is strong.
  • You live our values: resilient growth, give more than expected, data-driven, extreme ownership.

Nice to have

  • Experience with North American data hiring processes in the US and Canada.
  • Past responsibility for hiring, interviewing, or promotion decisions.
  • A public content, writing, or teaching background.

Compensation

You are paid a monthly retainer per active client, typically $200 to $600 USD per client per month depending on seniority and scope, plus performance bonuses tied to placements, client satisfaction, and timelines.

  • Typical part-time mentors (5 to 10 clients) earn around $2,000 to $5,000 USD per month.
  • Strong full-time mentors (20 to 30 clients) can earn $10,000 to $25,000+ USD per month, with higher upside for top performers.

Hiring process

  • Application submitted and reviewed.
  • Initial screening interview, situational questions and career goals.
  • Case study and presentation interview. You prepare a case study, then we run a mock call on how you would handle real situations.
  • Possible team fit and performance review interview.

Training and onboarding

  • Day 1. Welcome to DataShip: orientation, values, brand, and the business at a high level.
  • Week 1. Customer, offer, and product training.
  • Weeks 2 to 3. Mentor training: shadowing, graded reviews, and short feedback cycles.
  • Once you hit a solid success rate on reviews, you start taking clients with close support.

The role

You help experienced data professionals in the US and Canada land their next $100K to $300K role, faster and with less chaos. You own client outcomes end to end: skills roadmap, marketing, interview pipeline, interview skills, and the offer.

You coach mid to senior data professionals (DA, DS, DE, MLE) one on one, hold them accountable to a clear system, and use real data from their job search to re-plan every two weeks. If you love mentoring and enjoy turning messy job searches into clear systems, this is for you.

At a glance

  • Clients. 5 to 30 active mentees once you are ramped.
  • Who you coach. Mid to senior DA, DS, DE, and MLE professionals in the US and Canada targeting $100K to $300K roles.
  • Scope. Skills roadmap, portfolio and LinkedIn, lead generation, interviews, and negotiation.
  • Schedule. Fully remote and flexible, with agreed response times and some overlap with EDT for calls.

What you win on

  • Client NPS. Overall and by lead level.
  • Churn rate. Measured by package.
  • Milestones hit on time. Roadmap, marketing, interviews, and offers.
  • Referrals, upsells, and outcomes. High performance is rewarded with better client assignments, higher effective earnings, and more responsibility.

What you will own from day one

Client outcomes and accountability

  • Run 1:1 mentoring sessions and async reviews that set clear two-week action plans and translate the program into concrete daily and weekly tasks.
  • Keep clients on pace for the estimated timeline for their lead level.
  • Review and approve client work: roadmaps, trackers, outreach, and portfolio assets, plus interview prep, mock interviews, and negotiation plans.
  • Monitor pipeline and progress in our trackers, move clients between pipeline groups based on real interview data, and spot stuck patterns early so you can re-plan with them.

Communication, responsiveness, and churn prevention

  • Meet the agreed response times in Slack and other channels based on the client's package.
  • Use positive accountability: direct, kind, clear expectations, and follow-through.
  • Watch for risk signals: missed check-ins, repeated deadline misses, negative sentiment, or a drop in execution.
  • Escalate early to leadership and QA when a client is at risk of churning, partner on the save plan, and turn demoters back into promoters where possible.

Data, systems, and documentation

  • Keep client notes, action plans, and decisions up to date in our systems.
  • Log the milestones that matter: time to first interview, time to offer, and NPS over time.
  • Use that data to adjust the roadmap every two weeks, improve your own mentoring playbook, and feed insights back to the team.

Team collaboration and product improvement

  • Join mentor huddles, QA calls, and training sessions.
  • Share patterns and best practices so the whole team raises its bar.
  • Turn common 1:1 issues into scalable lessons, SOPs, or tools.
  • Own your performance: track your own numbers, request feedback, and propose experiments that improve outcomes.

Requirements

  • Proven experience in a data role (DA, DS, DE, MLE, analytics, or similar).
  • You have already managed, mentored, led, or coached others, formally or informally.
  • Comfortable giving direct, honest feedback while staying supportive.
  • Able to break complex topics like skills, interviews, and strategy into step-by-step actions.
  • Fluent with remote tools: Slack, Loom, Trello, Google Suite, Git.
  • Able to balance multiple clients while staying organized and calm.
  • Able to support a minimum of 5 mentees after the first 3 months, with interest in growing beyond that if performance is strong.
  • You live our values: resilient growth, give more than expected, data-driven, extreme ownership.

Nice to have

  • Experience with North American data hiring processes in the US and Canada.
  • Past responsibility for hiring, interviewing, or promotion decisions.
  • A public content, writing, or teaching background.

Compensation

You are paid a monthly retainer per active client, typically $200 to $600 USD per client per month depending on seniority and scope, plus performance bonuses tied to placements, client satisfaction, and timelines.

  • Typical part-time mentors (5 to 10 clients) earn around $2,000 to $5,000 USD per month.
  • Strong full-time mentors (20 to 30 clients) can earn $10,000 to $25,000+ USD per month, with higher upside for top performers.

Hiring process

  • Application submitted and reviewed.
  • Initial screening interview, situational questions and career goals.
  • Case study and presentation interview. You prepare a case study, then we run a mock call on how you would handle real situations.
  • Possible team fit and performance review interview.

Training and onboarding

  • Day 1. Welcome to DataShip: orientation, values, brand, and the business at a high level.
  • Week 1. Customer, offer, and product training.
  • Weeks 2 to 3. Mentor training: shadowing, graded reviews, and short feedback cycles.
  • Once you hit a solid success rate on reviews, you start taking clients with close support.
All open roles

Data Mentor / Data Career Coach

  • Remote
  • Mentorship
  • Part-time to Full-time (5-30 clients)
  • $2k–$5k/mo PT, Up To $10k–$25k+/mo FT OTE

The role

You help experienced data professionals in the US and Canada land their next $100K to $300K role, faster and with less chaos. You own client outcomes end to end: skills roadmap, marketing, interview pipeline, interview skills, and the offer.

You coach mid to senior data professionals (DA, DS, DE, MLE) one on one, hold them accountable to a clear system, and use real data from their job search to re-plan every two weeks. If you love mentoring and enjoy turning messy job searches into clear systems, this is for you.

At a glance

  • Clients. 5 to 30 active mentees once you are ramped.
  • Who you coach. Mid to senior DA, DS, DE, and MLE professionals in the US and Canada targeting $100K to $300K roles.
  • Scope. Skills roadmap, portfolio and LinkedIn, lead generation, interviews, and negotiation.
  • Schedule. Fully remote and flexible, with agreed response times and some overlap with EDT for calls.

What you win on

  • Client NPS. Overall and by lead level.
  • Churn rate. Measured by package.
  • Milestones hit on time. Roadmap, marketing, interviews, and offers.
  • Referrals, upsells, and outcomes. High performance is rewarded with better client assignments, higher effective earnings, and more responsibility.

What you will own from day one

Client outcomes and accountability

  • Run 1:1 mentoring sessions and async reviews that set clear two-week action plans and translate the program into concrete daily and weekly tasks.
  • Keep clients on pace for the estimated timeline for their lead level.
  • Review and approve client work: roadmaps, trackers, outreach, and portfolio assets, plus interview prep, mock interviews, and negotiation plans.
  • Monitor pipeline and progress in our trackers, move clients between pipeline groups based on real interview data, and spot stuck patterns early so you can re-plan with them.

Communication, responsiveness, and churn prevention

  • Meet the agreed response times in Slack and other channels based on the client's package.
  • Use positive accountability: direct, kind, clear expectations, and follow-through.
  • Watch for risk signals: missed check-ins, repeated deadline misses, negative sentiment, or a drop in execution.
  • Escalate early to leadership and QA when a client is at risk of churning, partner on the save plan, and turn demoters back into promoters where possible.

Data, systems, and documentation

  • Keep client notes, action plans, and decisions up to date in our systems.
  • Log the milestones that matter: time to first interview, time to offer, and NPS over time.
  • Use that data to adjust the roadmap every two weeks, improve your own mentoring playbook, and feed insights back to the team.

Team collaboration and product improvement

  • Join mentor huddles, QA calls, and training sessions.
  • Share patterns and best practices so the whole team raises its bar.
  • Turn common 1:1 issues into scalable lessons, SOPs, or tools.
  • Own your performance: track your own numbers, request feedback, and propose experiments that improve outcomes.

Requirements

  • Proven experience in a data role (DA, DS, DE, MLE, analytics, or similar).
  • You have already managed, mentored, led, or coached others, formally or informally.
  • Comfortable giving direct, honest feedback while staying supportive.
  • Able to break complex topics like skills, interviews, and strategy into step-by-step actions.
  • Fluent with remote tools: Slack, Loom, Trello, Google Suite, Git.
  • Able to balance multiple clients while staying organized and calm.
  • Able to support a minimum of 5 mentees after the first 3 months, with interest in growing beyond that if performance is strong.
  • You live our values: resilient growth, give more than expected, data-driven, extreme ownership.

Nice to have

  • Experience with North American data hiring processes in the US and Canada.
  • Past responsibility for hiring, interviewing, or promotion decisions.
  • A public content, writing, or teaching background.

Compensation

You are paid a monthly retainer per active client, typically $200 to $600 USD per client per month depending on seniority and scope, plus performance bonuses tied to placements, client satisfaction, and timelines.

  • Typical part-time mentors (5 to 10 clients) earn around $2,000 to $5,000 USD per month.
  • Strong full-time mentors (20 to 30 clients) can earn $10,000 to $25,000+ USD per month, with higher upside for top performers.

Hiring process

  • Application submitted and reviewed.
  • Initial screening interview, situational questions and career goals.
  • Case study and presentation interview. You prepare a case study, then we run a mock call on how you would handle real situations.
  • Possible team fit and performance review interview.

Training and onboarding

  • Day 1. Welcome to DataShip: orientation, values, brand, and the business at a high level.
  • Week 1. Customer, offer, and product training.
  • Weeks 2 to 3. Mentor training: shadowing, graded reviews, and short feedback cycles.
  • Once you hit a solid success rate on reviews, you start taking clients with close support.

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