Senior Data Scientist
Brooklyn, New York
Applications have closed
Harmonic
Harmonic's data engine keeps 20M+ companies & 150M+ professional profiles fresh, so you can always be in the loop when a company just raised a round, just hired a CTO, or just crossed the 1M follower mark on Twitter.About Us
Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. We cover founders who’ve just filed for incorporation to scaleups hiring their go-public CFO, all in real-time with rich firmographic, team info, and time-series data.
Hundreds of venture teams have become data-driven and deployed their dollars more effectively thanks to Harmonic. Firms like Accel, NEA, Brex, Notion, and Google Ventures use Harmonic to connect startups with the capital and resources that they need to drive growth. We’re backed by some of the best investors - Craft, Sozo, Floodgate, and several others, all of whom started as customers first.
We believe that your rate of learning and improving is more important than where you are today. And we invite you to reach out if you’re driven, curious, optimistic, and passionate about mastering your craft!
What you will do:
- Own our insights layer: build models and algorithms to generate first-party data. This will include using statistical and machine learning techniques, including LLMs, to generate derived insights as well as determine accurate values from error-prone sources (e.g. headcount information)
- Develop data products that improve the discoverability of startups in our database. Create and continually improve the similarity, relevance, and tagging algorithms that power our search engine.
- Use your knowledge and creativity to extract as much value out of our data as possible. Make us the most valuable and useful source of information on startups.
- Oversee general maintenance and health of data pipelines to ensure accurate and efficient transformations of our data.
- Collaborate with the team to devise product goals, outline milestones, and execute plans, achieving this with minimal guidance.
Requirements:
- 5+ years in Data Science or Data Engineering, or commensurate educational experience (PhD)
- Fluency in Python and SQL
- Experience with backend libraries and tools like dbt and dagster, familiarity with web servers, and comfort with large data sets.
- Ability to work 3 times/week in our Brooklyn (Williamsburg) office.
- Proven track record of shipping major projects for a data-centric startup.
Pay
$170k-$220k Salary + Equity (flexible depending on the level)
Our stack
The Process
Our goal in hiring is to make sure we click on both sides. We’re all about saving time and not beating around the bush. If it’s not looking like a match, we’re upfront and quick to say so, keeping things honest and moving smoothly for everyone involved.
We despise the typical software engineering interview process because it does not align with our day-to-day work. We structured our interview process around pragmatism. Expect us to ask questions closely aligned with the work we expect you to do.
Here’s our interview process:
- (45 mins) Introduction Chat: Let's discuss whether Harmonic is the right place for you. We'll review your experience and allocate time for any questions you may have
- (Max 10 hours) Take-home Exercise: We will send you a description of one of our current company challenges and ask you to come up with a creative solution.
- (45 mins) Call with Product Partner: See if we would collaborate well.
- (30 mins) Call with Our CEO: Get to know Max! He'll do a behavioral interview.
- (45 mins) Call with one of our engineers: Go over your take home and do technical assessment.
- (2 Hours and 30 Minutes) Engineering Jam Session: Detailed discussion of the take-home and digging in deeper to measure technical skills. This will involve coding with 2-3 engineers on our team.
- (Async) Referrals Check
- (In person) Dinner/Lunch: Let's get to know each other over dinner. We can only get to know each other so much through video calls. We believe this is a critical hire and believe this investment is necessary. Flight and housing (if needed) are covered.
Benefits*
- 🩺 Top of the line health, dental and vision insurance, with 100% premium covered
- 📈 401k matching
- 🌴 Unlimited vacation and sick leave
- 🌍 Offices in NYC, SF, & LA
Read about our company culture
*For full-time employees only
Tags: Dagster Data pipelines dbt Engineering LLMs Machine Learning PhD Pipelines Python SQL Statistics
Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Startup environment Unlimited paid time off
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