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Remote Data Scientist Machine Learning Jobs in Albany, NY

Senior Data Scientist - Machine Learning Specialist We are seeking a talented and innovative Senior Data Scientist to join our growing analytics team. In this impactful role, you will leverage your ...

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 ...

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Senior Data Engineer

Albany, NY ยท Remote

$45 - $55/hr

Fully Remote Duration: 6 months (strong chance of extension) Sparks experience is a must Green Card ... Experience in working with data science and machine learning models and frameworks * Previous ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Data Modeler

Albany, NY ยท 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 ...

Staff Scientist

Albany, NY ยท On-site +1

$65K - $81K/yr

This position can be located in our Albany, Syracuse, or Rochester offices, or in a remote ... Analyze data, reports, maps, drawings, tests, etc. to plan, design and implement a project.

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Remote Data Scientist Machine Learning information

See Albany, NY salary details

$37.2K

$121.9K

$195.1K

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

As of Aug 18, 2026, the average yearly pay for remote data scientist machine learning in Albany, NY is $121,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

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

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

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

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Albany, NY?

For Remote Data Scientist Machine Learning jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Machine Learning jobs in Albany, NY look for?

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

What cities near Albany, NY are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Albany, NY with the most Remote Data Scientist Machine Learning job openings:

Assistant Manager

Kayla's HR Co

Schenectady, NY โ€ข Remote

Contractor

Posted 22 days ago


Job description

Senior Data Scientist - Machine Learning Specialist Job Description

We are seeking a talented and innovative Senior Data Scientist to join our growing analytics team. In this impactful role, you will leverage your expertise in machine learning and Python to transform complex data into actionable insights that drive strategic business decisions across our organization.

As our Data Scientist, you will collaborate with cross-functional teams to identify opportunities, develop sophisticated machine learning models, and implement data-driven solutions that directly impact our business outcomes.

Key Responsibilities:
  • Design, develop, and deploy advanced machine learning algorithms and statistical models to solve complex business problems
  • Extract, transform, and analyze large datasets from multiple sources to uncover patterns and generate actionable insights
  • Build robust predictive models using supervised and unsupervised learning techniques
  • Create comprehensive data visualizations and dashboards to effectively communicate findings to technical and non-technical stakeholders
  • Collaborate with product and engineering teams to integrate machine learning solutions into production systems
  • Stay current with emerging trends in data science, machine learning, and AI to continuously improve our analytical capabilities
  • Mentor junior data scientists and contribute to building a culture of data-driven decision making
Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's or PhD preferred
  • 3+ years of hands-on experience applying machine learning techniques to solve real-world business problems
  • Strong proficiency in Python and its data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
  • Experience with SQL and database systems for data extraction and manipulation
  • Demonstrated expertise in developing and deploying machine learning models in production environments
  • Solid understanding of statistical analysis, experimental design, and A/B testing methodologies
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical audiences
Preferred Skills:
  • Experience with cloud platforms (AWS, Azure, or GCP) and their machine learning services
  • Knowledge of big data technologies (Hadoop, Spark)
  • Familiarity with version control systems (Git) and collaborative development workflows
  • Experience with NLP, computer vision, or deep learning applications
  • Background in data engineering or software development

Join our innovative team and help shape the future of our organization through data-driven insights and machine learning solutions. This role offers the opportunity to work on challenging problems, collaborate with talented professionals, and make a significant impact on our business growth and success.