Data Scientist, YipitData
Alternative data driven market & investment research firm
Open for applications
Alternative data driven market & investment research firm
501-1000 employees
Open for applications
501-1000 employees
Company mission
To usher in the new era of market research.
Role
Who you are
- You have shipped multiple data science projects end-to-end and can point to quantifiable customer or business impact
- Your statistical foundations are real, not surface-level. You can defend a causal-inference method choice end-to-end under technical questioning
- You write Python that reads like the work of a senior engineer: clear naming, type hints, vectorized code, no premature abstraction
- You already use LLM coding assistants daily and can describe specific cases where they multiplied your output without compromising quality, and specific cases where you overrode them
- Writing is a primary skill for you, not a side hobby. You communicate as carefully on the page as you do in code
- You take ownership without prompting: you find the right question, ship the answer, and explain it
- Humility about what you do not know matters as much as confidence about what you do
- You read the literature, cite sources, and ground your work in established methods rather than reinventing them
What the job involves
- YipitData turns billions of alternative-data points into signals that institutional investors and Fortune 500 customers depend on for high-stakes decisions. The data science team owns the methods behind those signals. We do causal inference on panel data, predictive modeling against earnings outcomes, and the white papers customers read
- This role pairs applied data science with AI-native tooling. You will own substantive analytical projects end-to-end. You will use LLM coding assistants as a primary collaborator across every phase of the work: exploratory analysis, production code, written deliverables
- You will also help shape how the team builds with AI-native workflows, including tool selection, guardrails, and evaluation patterns
- Translate ambiguous customer questions into well-scoped data science projects spanning panel data, time series, and causal inference
- Engineer features from large alternative-data panels (transaction-level, invoice-level, web-scraped) using Spark
- Build, validate, and interpret causal and predictive models that link alternative-data signals to financial outcomes such as revenue, earnings surprise, and KPI inflections
- Author technical white papers and customer analyses for institutional investors and Fortune 500 readers, including figures, equations, and narrative framing for sophisticated readers
- Use LLM coding assistants and agents as a primary collaborator: prototype faster, write higher-quality code, audit your own work, and ship deliverables in compressed timelines
- Build internal LLM-driven tooling (agents, eval harnesses, retrieval pipelines) for the broader organization
- Partner with data engineering, product, and revenue teams to close the loop between signal development and the customer-facing product
- Set technical standards for the team: PEP 8, type hints, vectorized operations, reproducible notebooks, sound methodology, and citation discipline
Our take
Annual expenditure on data sets amongst US asset managers has grown to over $1 Billion since the turn of the decade, and is only increasing. Alternative data providers like YipitData are providing answers to such investors.
By focusing on disruptive, digital-first sectors, the company provides maximum value to their clients. This is because, in recent times, many of the highest-growth opportunities have been the hardest to price. By supporting this pricing, YipitData is a stand-out.
Thus, the company has emerged as a leading provider of highly accurate and detailed research and analytics in the rapidly evolving landscape of disruptive and digitally enabled sectors. With an impressive client base in the hundreds and significant funding behind it, YipitData is poised to expand innovation and venture into new markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2021
$475m
SERIES E
May 2019
$85m
LATE VC
Total funding: $577m
Company benefits
- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
Company HQ
Midtown South, New York, NY
Leadership
Vinicius Vacanti
(Founder & CEO)Prior to YipitData, they were an Associate at Quadrangle Group and an Analyst at The Blackstone Group.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 22 more jobs at YipitData