YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work at YipitData:
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters : You’ll lead high-impact projects with real business outcomes
- Rapid Growth : We compress years of learning into months
- Merit Over Titles : Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About The Role:
We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer analytics.
In this role, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture. Whether your deep expertise lies in refining core statistical baselines, optimizing heavy computational models, or architecting scalable logic libraries, you will have a massive impact on how enterprise-level consumer insights are delivered.
This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours.
As Our Corporate Data Scientist, You Will:
- Statistical Modeling & Distribution Optimization: Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
- Methodology & Panel Foundations: Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
- Analytical Logic & Governance: Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries. You will ensure analytics are structured cleanly to power diverse product surfaces, ranging from interactive dashboards to LLM-driven applications.
- Infrastructure & Performance Optimization: Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures.
You Are Likely To Succeed If:
- Experience: 4–5 years of professional data science experience. 2-3 years of experience with an advanced degree.
- Education: Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline). A Master’s degree is strongly preferred .
- Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for statistical distributions .
- Technical Stack: Advanced proficiency in Python or R and expert-level SQL .
- Direct experience working with panel data or longitudinal consumer data.
- Hands-on experience analyzing receipt data or transaction-level consumer data.
- Experience working with Databricks and scaling advanced compute workloads.
What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual on-target earnings for this position are anticipated to be up to $170K + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
- The compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
Apply for this job
*
indicates a required field
First Name *
Last Name *
Email *
Phone
Country *
Phone *
Location (City) *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Please only submit a PDF version of your resume above. Submitting .doc, .pages, or other file types may lead to rendering/formatting errors. * Select...
How did you hear about this job? (If through one of our current employees, please share their name and your relationship with them.) *
Why are you interested in this role at YipitData? What about this job opportunity compels you? *
Please rank the top 3 skill sets that you'd like to further develop at YipitData. *
Why are you looking for a new opportunity at this time? *
Do you hold a bachelor's degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline)? * Select...
How many years of experience do you have working as a Data Scientist? * Select...
Do you have experience working with panel data or longitudinal consumer data? * Select...
Do you have experience analyzing receipt data or transaction-level consumer data? * Select...
Please explain any employment gaps in your work history. If none, say “N/A.” *
Please share a relevant example of project ownership you had using advanced Python and SQL skills.
What is your minimum required yearly salary (in USD) to consider this position? *
When is the earliest you can start this position? If you do not have a date in mind, please share with us what kind of notice you would need to give your current employer. (Note: your desired start date will NOT affect your candidacy). *
Kindly share your LinkedIn profile with us!
Are you legally authorized to work in the United States for YipitData? * Select...
Will you *now* OR *in the future* require employer-based sponsorship for immigration-related employment benefit(s) or visa status (e.g., H-1B, TN, I-140, etc.) to work for YipitData?(Immigration-related employment benefits include, for instance, H-1B, TN, O, E, and other nonimmigrant work visa/status; employment based “green card”/immigrant sponsorship, such as a labor certification, I-140 immigrant petition for alien worker, adjustment of status, consular processing, etc.) * Select...
I acknowledge that for remote-based US roles, depending upon where the remote work is performed, INCOME COULD BE SUBJECT TO NYS TAX WITHHOLDINGS. * Select...
A final step in the hiring process is for you to arrange reference calls with former managers, direct reports (for managerial roles), and others. * Select...
YipitData is an equal-opportunity employer and seeks collaboration, innovation, and excellence through diversity and inclusion. Here is a set of voluntary demographic questions that are part of our Diversity and Inclusion initiatives. You may choose not to answer the questions below. If you do choose to answer, your responses will be used (in aggregate form only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision. Select...
Please specify the race/ethnicity you identify with (select any/all that apply):
Asian
Black or African American
Hispanic / Latinx
Middle Eastern or North African
Pacific Islander or Native Hawaiian
White
Other
I prefer not to say
Do you identify as a member of the LGBTQIA+ community? Select...
Do you identify as non-binary and/or transgender? Select...
What are your pronouns? (select any/all that apply)
He/Him
She/Her
They/Them
Other
I prefer not to say
The Americans with Disabilities Act (ADA) is a federal civil rights law that prohibits discrimination against people with disabilities in everyday activities. Select...
Do you identify as having lived or currently living with a disability?
#J-18808-Ljbffr