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Associate Data Scientist Deep Learning Jobs in Miami, FL

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ...

Personnel must be proficient in deep learning, supervised and unsupervised learning techniques ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Security clearance: * Active ...

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ...

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP. * Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams ...

New

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science ...

New

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ... AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ... AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ... AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of ... Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles.

Senior Lead Data Scientist

Aventura, FL · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP. * Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams ...

New

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science ...

High School Diploma and 4 years of additional experience or Associate's Degree and 2 years of ... Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Demonstrated experience building and deploying statistical and machine learning models to address ...

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Showing results 1-20

Associate Data Scientist Deep Learning information

See Miami, FL salary details

$55K

$65.1K

$123.4K

How much do associate data scientist deep learning jobs pay per year?

As of Aug 28, 2026, the average yearly pay for associate data scientist deep learning in Miami, FL is $65,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $56,900.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What cities near Miami, FL are hiring for Associate Data Scientist Deep Learning jobs?

Cities near Miami, FL with the most Associate Data Scientist Deep Learning job openings:

Infographic showing various Associate Data Scientist Deep Learning job openings in Miami, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $65,075 per year, or $31.3 per hour.

Senior Data Scientist

Haystack News

Fort Lauderdale, FL • Remote

Full-time

Re-posted 12 days ago


Job description

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

MINIMUM QUALIFICATIONS

  • PhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field

  • 3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).

  • Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.

  • Proficiency in causal inference methods to measure product impact.

  • Proven ability to translate offline analysis into product decisions and measurable improvements in online metrics.

  • Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.

  • Strong experience with SQL (e.g. postgres, snowflake, etc).

PREFERRED QUALIFICATIONS:

  • Experience working on consumer-facing products with millions of users.

  • Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).

  • Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.

  • Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

RESPONSIBILITIES

  • Build statistical and machine learning models to improve content discovery and user engagement.

  • Work closely with ML engineers to translate models and insights into production systems.

  • Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.

  • Apply causal inference methods to understand the impact of potential product changes.

  • Define and build new ML features using text and multimodal embeddings and GenAI.

  • Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.