Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 143 days ago

Applied Data Science Research Engineer - Talent Analytics

McChrystal Group3 open roles

Pay
$125,000 – $190,000 a year
Where
Alexandria, Virginia
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowApplied Data Science Research Engineer - Talent AnalyticsMcChrystal Group · Alexandria, Virginia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on McChrystal Group's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 143 days ago

The posting

Position Overview:

Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Applied Data Science Research Engineer - Talent Analytics is the analytical engine behind that work.

In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients’ own workforce data.

The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing?

To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel.

This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership.

Workforce & Talent Intelligence

  • Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics.
  • Develop methodologies to estimate or infer workforce attributes that are not directly observable.
  • Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities.
  • Produce actionable talent intelligence for client engagements.
  • Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences.

Research Engineering & Data Acquisition

  • Acquire data from public, commercial, and proprietary sources.
  • Develop custom web scraping, extraction, and enrichment workflows to support research initiatives.
  • Build one-off software tools and analytical applications required to answer specific business questions.
  • Evaluate data quality, completeness, and reliability across multiple sources.
  • Rapidly learn and apply new technologies, techniques, and datasets as project requirements evolve.

Machine Learning, AI & Advanced Analytics

  • Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems.
  • Develop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate.
  • Leverage large language models and modern AI tooling to accelerate research and insight generation.
  • Design experiments and validation approaches to assess analytical accuracy and reliability.
  • Translate analytical outputs into practical business recommendations.

Consulting & Collaboration

  • Partner with consultants, researchers, and client-facing stakeholders to understand business challenges.
  • Contribute to the development of proprietary talent intelligence methodologies and intellectual property.
  • Support client engagements through research, analytical problem solving, and technical expertise.
  • Present research findings and recommendations to clients and internal stakeholders.
  • Share tools, approaches, and best practices across the organization.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field.
  • 4-6 years of relevant experience
  • Experience conducting independent analytical or research-oriented projects.
  • Strong programming skills, particularly in Python.
  • Strong analytical reasoning and problem-solving abilities.
  • Ability to work effectively in ambiguous environments with limited precedent or direction.
  • Excellent written and verbal communication skills.
  • Experience with labor market, workforce, recruiting, compensation, or organizational data.
  • Experience working with large structured and unstructured datasets.
  • Must be able to obtain and maintain a U.S. Government security clearance.
  • Experience with web scraping, data acquisition, and information extraction.
  • Experience with machine learning, NLP, or AI-assisted analytics.
  • Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against McChrystal Group's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on McChrystal Group's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    McChrystal Group's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.