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Remote Data Science Jobs in Albany, NY (NOW HIRING)

SymphonyAI

AI Platform Architect

Albany, NY · Remote

Mentor senior engineers, architects, and data scientists. * Influence platform decisions across ... Model and agent observability, testing, and governance #LI-Remote

ACS Consultancy Services

Power BI Developer

Albany, NY · Remote

Remote We are currently seeking candidates who meet the following qualifications. Responsibilities ... Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

Lancesoft INC

Epidemiologist

Oak Hill, NY · Remote

$60 - $65/hr

Durham, NC/ Remote Duration: 07 months Core/Regular work hours Description: * Improve disease ... medical history data ascertainment. * Contribute to medication safety evaluation: provide ...

Chegg, Inc.

Business Intelligence Analyst 1

Albany, NY · Remote

$120K - $180K/yr

Remote (U.S.) About Chegg Skills helps working adults build the skills they need to access better ... Collaborate with Learning Science to link quantitative data with qualitative insights, grounding ...

ACS Consultancy Services

Salesforce Developer

Albany, NY · Remote

$56.75 - $75.25/hr

Remote We are currently seeking candidates who meet the following qualifications. Key ... data governance policies. Requirements * Bachelor's degree in Computer Science, Information ...

Norstella

Software Engineer Intern

Albany, NY · Remote

Remote, United States Date Posted: May 5, 2026 Employment Type: Intern Job ID: R-1948 Description About Norstella: Norstella is a premier and critical global life sciences data and AI solutions ...

Revvity

Sr. Tax Manager (REMOTE)

Albany, NY · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

ACS Consultancy Services

Office 365 Administrator

Albany, NY · Remote

$18.50 - $25.25/hr

Remote We are currently seeking candidates who meet the following qualifications. Key ... Implement and maintain security policies, data loss prevention (DLP), multi-factor authentication ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Albany, NY

Remote Data Science information

See Albany, NY salary details

$23.3K

$103.5K

$197.5K

How much do remote data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science in Albany, NY is $103,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,467.00 and $143,569.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Albany, NY? The most popular types of Data Science jobs in Albany, NY are:
What are popular job titles related to Remote Data Science jobs in Albany, NY? For Remote Data Science jobs in Albany, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Albany, NY look for? The top searched job categories for Remote Data Science jobs in Albany, NY are:
What cities near Albany, NY are hiring for Remote Data Science jobs? Cities near Albany, NY with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Albany, NY as of May 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $103,508 per year, or $49.8 per hour.

AI Platform Architect

Symphonyai Enterprise IT

Albany, NY • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Platform Architect

We are seeking an experienced AI Architect to design, govern, and scale end-to-end AI solutions that deliver measurable business outcomes. This role sits at the intersection of data, machine learning, engineering, and product, translating business needs into robust, secure, and scalable AI architectures.

The AI Architect will define reference architectures, select platforms and tools, and guide teams in building production-grade AI systems across the enterprise.

Key Responsibilities

Platform Architecture & Vision

  • Own the end-to-end architecture for the AI platform, spanning:
    • Agent frameworks and orchestration layers
    • Semantic and knowledge graph foundations
    • Data and signal ingestion fabric
    • Model, reasoning, and tool-execution services
    • Product and solution enablement layers
  • Establish modular, extensible reference architectures enabling rapid product and solution development.
  • Drive architectural consistency across teams building on AI Platform.

Agentic & Knowledge-Driven AI Systems

  • Architect agent-based systems capable of reasoning, planning, retrieval, and execution across enterprise workflows.
  • Design hybrid AI architectures combining:
    • LLMs and multi-model stacks
    • Knowledge graphs and ontologies
    • Vector retrieval and semantic search
    • Deterministic services and enterprise APIs
  • Lead the evolution of CINDE's semantic layer and retail knowledge foundation.

Solution Architecture & Business Enablement

  • Partner with Product, Engineering, and Business leaders to translate strategy into scalable technical systems.
  • Architect AI solutions across retail and CPG domains, including:
    • Forecasting, demand intelligence, and optimization
    • Price, promotion, and assortment intelligence
    • Shopper personalization and retail media
    • Store, shelf, and inventory intelligence
    • Enterprise revenue and decision automation
  • Ensure architectures directly support revenue growth, product velocity, operational efficiency, and customer impact.

AI Platform Engineering, MLOps & LLMOps

  • Define CINDE standards for:
    • Model lifecycle management
    • Agent deployment and orchestration
    • Prompt, workflow, and tool governance
    • Experimentation and evaluation pipelines
  • Design scalable MLOps/LLMOps/AgentOps foundations:
    • CI/CD for AI and agent workflows
    • Observability, telemetry, and quality measurement
    • Versioning, monitoring, drift detection, and retraining

Governance, Security & Responsible AI

  • Embed enterprise-grade security, privacy, and compliance into CINDE architecture.
  • Define and enforce Responsible AI frameworks across the platform:
    • Explainability, traceability, and auditability
    • Bias, safety, and risk controls
    • Regulatory and customer-facing compliance readiness
  • Partner closely with Security, Legal, and Compliance leaders.

Technical Leadership & Influence

  • Serve as a technical north star across product and engineering organizations.
  • Mentor senior engineers, architects, and data scientists.
  • Influence platform decisions across multiple business units without direct authority.
  • Continuously assess emerging technologies and translate them into advantage.

Required Technical Skills

Cloud & Platform Engineering

  • Deep experience with AWS, Azure, or GCP AI platforms
  • Kubernetes, containerized AI workloads, and distributed systems
  • Infrastructure as Code and environment automation

Data, Knowledge & Signal Fabric

  • Enterprise data lakes and lakehouse platforms
  • Streaming and real-time signal architectures
  • Strong distributed data processing background
  • Knowledge graph platforms, semantic modeling, and ontologies

AI, ML & Agentic Systems

  • Expert-level Python
  • Production ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Agent frameworks and orchestration platforms
  • Multi-model system design

GenAI & Knowledge-Grounded AI

  • Commercial and open-source LLM ecosystems
  • RAG and hybrid retrieval architectures
  • Vector databases and embedding systems
  • Fine-tuning, evaluation, and prompt lifecycle management

MLOps/LLMOps/AgentOps

  • MLflow, Kubeflow, or equivalent platforms
  • CI/CD for AI workloads
  • Model and agent observability, testing, and governance

#LI-Remote

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