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Remote Data Scientist Deep Learning Jobs in Justin, TX

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data ...

New

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data ...

New

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ... Deep understanding and application of statistical analysis and advanced machine learning techniques.

What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at ... Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and ...

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

Machine Learning Tutor

Dallas, TX · Remote

$18 - $40/hr

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

... deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science ...

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Remote Data Scientist Deep Learning information

See Justin, TX salary details

$44.3K

$145K

$232.1K

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

As of Aug 12, 2026, the average yearly pay for remote data scientist deep learning in Justin, TX is $144,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $160,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are popular job titles related to Remote Data Scientist Deep Learning jobs in Justin, TX? For Remote Data Scientist Deep Learning jobs in Justin, TX, the most frequently searched job titles are:
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What cities near Justin, TX are hiring for Remote Data Scientist Deep Learning jobs? Cities near Justin, TX with the most Remote Data Scientist Deep Learning job openings:

Lead Data Scientist - Healthcare

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Posted 19 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.

Requirements

  • 8–10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Excellent stakeholder communication and leadership skills.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.