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Data Analytics Startup Jobs (NOW HIRING)

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Startup experience is highly preferred. * Expertise with data visualization tools like Tableau or ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Experience in a startup or other fast-paced, high-growth environment. What We Offer * Salary Range ...

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ... Comfortable working in a fast-moving startup environment with evolving requirements Preferred ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Experience in a startup or other fast-paced, high-growth environment. What We Offer * Salary Range ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Background in high-growth startup or tech environments * Knowledge of data cataloging and metadata ...

OH.io

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

OH.io is transforming Columbus into America's startup technology capital, focusing on igniting B2B SaaS founders with GTM acceleration. The GTM Engineer (Data & Analytics) will build data-driven GTM ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Background in high-growth startup or tech environments * Knowledge of data cataloging and metadata ...

BlastPoint

Customer Success Manager

$80K - $110K/yr

About BlastPoint BlastPoint is a B2B data analytics startup located in the East Liberty neighborhood of Pittsburgh. We give companies the power to engage with customers more effectively by ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

... startup -- this may be the perfect role for you. While this is a remote position, you must be ... Set the vision and strategy for Data Analytics and Data Science * Partner with Data Engineering to ...

Clera

Senior Software Engineer, Platform

New York, NY · Remote

$200K - $350K/yr

About the Role Join the platform team at a well-funded, early-stage AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data at scale.

Clera

Senior Software Engineer, Platform

New York, NY · On-site

$200K - $350K/yr

About the Role Join the platform team at a well-funded, early-stage AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data at scale.

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Data Analytics Startup information

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How much do data analytics startup jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data analytics startup in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
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What cities are hiring for Data Analytics Startup jobs? Cities with the most Data Analytics Startup job openings:
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Data Analytics Startup jobs near you
Infographic showing various Data Analytics Startup job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Senior Data Scientist

Senior Data Scientist

Success Matcher Recruitment

New York, NY

$200K - $225K/yr

Full-time

Posted 20 days ago

Job description

About the Company & Platform

We are a fast-growing, well-funded AI and data analytics startup ($20M raised, currently at 18 employees) building cutting-edge autonomous AI systems for enterprise marketing leaders. Our platform replaces operationally intensive data workflows by deploying agentic systems that handle complex data management, analytics, campaign generation, and measurement entirely on their own.

Everything we build sits on top of our proprietary consumer graph—a massive identity and attribute layer covering over 270 million U.S. consumers with more than 2,000 through-time attributes. Our engineering and science team includes world-class operators and researchers from backgrounds like Citadel, Bridgewater, Meta Superintelligence, MIT, and Stanford. We count high-profile enterprises like the NBA, Capital One, the Miami Dolphins, and Ramp among our active clients.

What You'll Do

This is a generalist role requiring a blend of data engineering fundamentals and advanced statistical thinking. You will own the full path from raw data to production-ready models running at terabyte scale.

  • Identity Resolution & Data Stitching: Clean, standardize, and stitch disparate, messy third-party data sources into unified, 360-degree consumer profiles.
  • Probabilistic Modeling: Build and deploy robust estimation models (e.g., predicting income, wealth, affinities, and lookalike/propensity traits) to derive valuable consumer attributes.
  • Scale Pipelines: Create, refine, and maintain high-throughput feature engineering pipelines that run reliably at terabyte scale.
  • Autonomous AI Integration: Ensure all model outputs are exceptionally robust and reliable, as they will be consumed autonomously by our downstream AI agents without human intervention.
  • Client-Facing Solutions: Tackle end-to-end custom enterprise data science work for flagship clients, moving rapidly from messy raw data to deployed production models.

Role Requirements

  • Experience: 2–10 years of applied data science experience. You must have a proven track record of shipping and deploying models directly into production environments (this is not a notebook-only or pure analysis role).
  • Technical Toolkit: Highly proficient in Python and SQL with the ability to write clean, production-quality code. Strong data engineering fundamentals (data modeling, pipeline construction, data cleaning).
  • Problem-Solving Mindset: High intellectual horsepower. You are comfortable dealing with ambiguous, unstructured, real-world data across multiple domains in a fast-paced environment.
  • Background: Open to top-tier industry backgrounds (e.g., tech, ad-tech, or quantitative hedge funds) OR a strong PhD from a top-10 quantitative program looking to transition into a high-ownership startup environment.