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Data Science Startup Jobs in Georgia (NOW HIRING)

AEG

Senior Technical Recruiter (Contract)

Atlanta, GA · On-site

Proven success recruiting for roles across Engineering, Data Engineering, Data Science, Analytics, Data Platform, and Product * Experience supporting fast-paced, high-growth, or startup environments

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Data Science Startup information

See Georgia salary details

$18.3K

$87.8K

$163.8K

How much do data science startup jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science startup in Georgia is $87,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,738.00 and $122,155.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Georgia? The most popular types of Data Science Startup jobs in Georgia are:
What are popular job titles related to Data Science Startup jobs in Georgia? For Data Science Startup jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Georgia look for? The top searched job categories for Data Science Startup jobs in Georgia are:
What cities in Georgia are hiring for Data Science Startup jobs? Cities in Georgia with the most Data Science Startup job openings:
Data Science Startup jobs near you

Technical Product Manager, Data and Internal Products

Career Renew

Atlanta, GA

$180K - $230K/yr

Full-time

Medical, PTO

Posted 15 days ago

Job description

Career Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.
We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics.


What will you be doing?

  • Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems.

  • Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services.

  • Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs.

  • Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements.

  • Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.

Key Requirements

  • 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred.

  • Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake).

  • Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.

  • Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems.

  • Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies.

Tech stack
Spark, Databricks, BigQuery, Snowflake

Requirements:

5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory)

Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory)

At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory)

Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory)

Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory)

Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory)

Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have)

Located and authorized to work in the United States. (Mandatory)

Why you should join

Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities.

$85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway.

Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider.

Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents.

Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.