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Remote Data Scientist Deep Learning Jobs in Schenectady, NY

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Remote We are currently seeking candidates who meet the following qualifications. Key ... Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related ...

Kayla's HR Co

Assistant Manager

Schenectady, NY · Remote

Senior Data Scientist - Machine Learning Specialist We are seeking a talented and innovative Senior ... Experience with NLP, computer vision, or deep learning applications * Background in data ...

GSI Environmental Inc.

Environmental Scientist

Esperance, NY · On-site +1

$76K - $100K/yr

Perform data compilation, exploratory data analysis, data visualization, QA/QC, and computer ... Flexible work environment with potential for remote (remote and local) work * On-the-job training ...

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Bachelor's degree in Computer Science, Information Systems, or a related field. * Experience in ...

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See Schenectady, NY salary details

$36.3K

$118.8K

$190.1K

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

As of Aug 30, 2026, the average yearly pay for remote data scientist deep learning in Schenectady, NY is $118,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Remote Data Scientist Deep Learning jobs in Schenectady, NY look for?

The top searched job categories for Remote Data Scientist Deep Learning jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Remote Data Scientist Deep Learning jobs?

Cities near Schenectady, NY with the most Remote Data Scientist Deep Learning job openings:

Remote Data Scientist Deep Learning jobs near you

AI/ML Engineer

ACS Consultancy Services

Albany, NY • Remote

Other

Re-posted 7 days ago

Job description

Job Title: AI/ML Engineer

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Develop, train, and deploy machine learning and deep learning models for classification, prediction, recommendation, NLP, or computer vision tasks.
  • Work with large, structured and unstructured datasets to extract insights and prepare data for modeling.
  • Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost.
  • Implement models in production environments using MLOps best practices (e.g., model versioning, monitoring, CI/CD).
  • Collaborate with software engineers to integrate AI/ML solutions into production applications and services.
  • Perform model evaluation, A/B testing, and tuning to ensure high performance and reliability.
  • Stay current with the latest research and trends in machine learning and artificial intelligence.
Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Experience in AI/ML engineering or a related role.
  • Proficient in Python and familiar with ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, and pandas.
  • Solid understanding of supervised, unsupervised, and deep learning algorithms.
  • Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or Azure ML.
  • Experience with version control (Git) and containerization tools like Docker and Kubernetes.
  • Strong problem-solving skills and a collaborative mindset.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.