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Data Science Startup Jobs in Florida (NOW HIRING)

Iru

Manager, Data Engineering

Miami, FL

Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and ... for Data Science, Analytics, Finance, Revenue, and our product engineering teams to move fast and ...

LeadingResponse

Senior Product Manager

Tampa, FL · Hybrid

$119K - $157K/yr

... latitude of a startup founder -- backed by an established brand and rich proprietary data ... We deliver measurable results for our clients through a powerful mix of data science, digital ...

RME MASTER

Senior Product Manager

Tampa, FL · On-site

$119K - $157K/yr

... latitude of a startup founder - backed by an established brand and rich proprietary data ... We deliver measurable results for our clients through a powerful mix of data science, digital ...

OpenFX

Analytics Lead

Miami, FL · On-site

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. * 6+ years of ... Startup experience is highly preferred. * Expertise with data visualization tools like Tableau or ...

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All JobsData Science Startup JobsData Science Startup Jobs in Florida

Data Science Startup information

See Florida salary details

$18.7K

$89.9K

$167.7K

How much do data science startup jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science startup in Florida is $89,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,804.00 and $125,065.00 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 Florida? The most popular types of Data Science Startup jobs in Florida are:
What are popular job titles related to Data Science Startup jobs in Florida? For Data Science Startup jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Florida look for? The top searched job categories for Data Science Startup jobs in Florida are:
What cities in Florida are hiring for Data Science Startup jobs? Cities in Florida with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Florida as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $89,921 per year, or $43.2 per hour.
Senior Data Scientist - Delivery Technology

Senior Data Scientist - Delivery Technology

Gopuff

Miami, FL • On-site, Remote

$175K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Gopuff rating

4.8

Company rating: 4.8 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

20th of 22 rated food delivery companies

Job description

Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame. Gopuff is a high-growth startup that is revolutionizing hyper-local instant e-commerce. We warehouse and deliver tens of thousands of products to your door super fast.
As a Senior Data Scientist at Gopuff working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, as well as the delivery partner experience. All of that, with a direct impact on the delivery experience that is so core to serving our customers' immediate needs, means you'll have the opportunity to make a huge impact on the future success of Gopuff.
We're looking for a doer, problem solver, and thought-leader.
You Will
  • Own the end-to-end development and operation of deep learning-based ETA prediction systems-building features, training/testing models, running experiments, monitoring and explaining performance in production.
  • Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems.
  • Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient.
  • Build data driven, robust and replicable data science models.
  • Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics.

You Have
  • MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science).
  • Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions.
  • Expert in machine learning, statistics, and experimentation.
  • Proficient in Python, SQL, and source control management tools.

Compensation
  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we'd reasonably expect to pay candidates. A candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role's compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff's equity incentive plan.
  • On-site Base Salary Range: $175,000 - $195,000
  • Remote Base Salary Range: $155,000 - $175,000

What We Offer
  • Medical/Dental/Vision Insurance
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Mental Health Benefits
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it-stuff happens. But that's where we come in, delivering all your wants and needs in just minutes.
And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you're hearing? Then join us on Team Blue.
#LI-GOPUFF
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Gopuff employees say

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Hours and flexibility

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About GoPuff

Sourced by ZipRecruiter

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're assembling a team of thinkers, dreamers and risk takers who are ready to help us reshape the world of retail faster than ever before. And it doesn't hurt if you like snacks.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Philadelphia, PA, US

Year founded

2013

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