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

Open nowPosted 139 days ago

Data Scientist

Minerva17 open roles

Pay
$160,000 – $230,000 a year
Where
New York City
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowData ScientistMinerva · New York City

  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 Minerva'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.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Minerva postings stay open a median of 39 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: posted 139 days ago

Minerva median: 39 days open

The posting

ABOUT MINERVA

Minerva builds AI for marketing leaders. We work together with marketers to automate and accelerate their workflows with AI agents. Our agents augment the end-to-end workflow of the marketer by automating analysis, campaign planning, activation, measurement and reporting.

Customers like the NBA, Ramp, Wander, Hard Rock Stadium Group and Luxury Presence use Minerva to develop a better understanding of their customers and introduce AI specifically built to understand the customer into their commercial organizations. Our campaigns outperform other tools because we built the entire stack: from identity to enrichment to data integration as well as agents to action and report on the analysis.

We've raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital and many others. Our team brings together operators and investors from Citadel, Dentsu, Bridgewater, Meta Superintelligence, Growthloop, Amazon and Lazard, alongside engineers and researchers from Berkeley, MIT, Stanford and Cambridge.

ABOUT THE ROLE

As a Data Scientist at Minerva, you build the models and features that power our consumer graph and the agents that run on top of it. You sit at the intersection of heavy data engineering and applied modeling: you architect feature engineering pipelines that are computed over terabytes of data, train and sharpen the models that drive targeting and prediction, and ensure the outputs are robust enough to be consumed autonomously by our Minerva Agents and our world-class modeled attributes (i.e. income / wealth).

This is a role that will be deploying constantly to production. The models you build are not handed off to be deployed by someone else, you own the path from raw data to a feature or model that an agent can call reliably at scale. As we grow, your work becomes the foundation other systems are built on.

WHAT YOU'LL DO

- Create new features for models and agents, expanding the predictive surface area of our consumer data lake and building the pipelines that turn raw signal into trusted attributes.

- Improve existing models through rigorous feature engineering, including our income/wealth, home buyer, and home seller models.

- Play a pivotal role in the buildout of our world-class data lake, shaping how terabytes of consumer data are stored, transformed, and made queryable for both humans and agents.

- Build feature engineering pipelines that run efficiently at terabyte scale, with the data engineering rigor to make them reliable in production. This is a 70/30 split DS/DE role.

- Ensure model and feature outputs are reliable enough to be consumed agentically, writing the validations and guardrails that let our agents act on your work without a human in the loop.

OUR DATA STACK

- Dagster for all things orchestration

- dbt-core within Dagster as the primary data transformation surface

- Spark, Iceberg, Trino, AWS Glue for Lakehouse workloads

- Modal for ML eng

- Frontier + OSS models & agent SDKs. We are heavy users of OpenAI/Anthropic batch APIs

QUALIFICATIONS

- 2-4+ years working as a data scientist, applied machine learning focused data engineer or software engineer in a data-heavy context. Simply put, you live and breathe data.

- Highly proficient at Python and SQL.

- You are driven by first-principles thinking and are a go-getter. You reason about what datasets and features are necessary to solve a modeling problem, and are scrappy and clever enough to bring that to life.

- Strong intuition for data engineering principles, especially around data cleaning/ingestion and data modeling. We prefer these core skills to be second-nature, freeing up thinking for architecting and executing large-scale data initiatives, especially given the advancement of AI coding tools.

- Strong engineering background. You are comfortable deploying complicated production pipelines and working within larger production systems, not just in sandboxed or research environments.

- Willingness to work in office in NYC (we provide a relocation package).

- Flexibility and openness to wearing several hats. We are lean and things are always changing.

- Eagerness to learn and grow with the company and your coworkers.

PREFERRED

- Experience building and training predictive models (e.g. lead scoring, LTV, propensity, lookalike modeling).

- Experience with orchestration tools like Dagster, Airflow, Prefect and SQL transformation tools like dbt, SQLMesh.

- Experience with both transactional databases (e.g. Postgres, MySQL) and analytical databases (e.g. Snowflake, Redshift), with a bias toward the latter.

- Familiarity with a cloud resource provider (e.g. AWS, GCP).

- Familiarity with backend and ML/AI engineering.

- Experience with AI coding tools (e.g. Cursor, Claude Code, OpenCode) as a force multiplier.

- Prior work at an early-stage startup.

You don't need to tick every box. If you're strong on the engineering side and hungry to build models that matter, we want to hear from you.

COMPENSATION

$160,000–$230,000 base salary, commensurate with experience. Competitive equity. Medical, dental and vision.

WHERE WE WORK

We work in person from our office at 300 Kent Avenue in Williamsburg, Brooklyn.

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 Minerva'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 Minerva'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

    Minerva'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.