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

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Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Fully Remote Duration: 6 months (strong chance of extension) Sparks experience is a must Green Card ... Bachelor's degree in computer science, information technology, or a related field. * At least 7 ...

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AI Data Architect

Albany, NY · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

Senior Consultant - Data Analyst

Albany, NY · On-site +1

$84.50K - $109.85K/yr

Ability to work effectively in both remote and office settings * Experience in healthcare or a related field Education and Experience * A bachelor's degree in data science, computer science ...

Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We ... Remote Travel: May include up to 25% domestic or international travel Relocation Assistance: Not ...

Data Engineer - Healthcare

Albany, NY · Remote

$113.70K - $136.50K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. * 2+ years ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Senior Consultant - Data Analyst

Albany, NY · On-site +1

$84.50K - $109.85K/yr

Ability to work effectively in both remote and office settings * Experience in healthcare or a related field Education and Experience: A bachelor's degree in data science, computer science ...

Data Product Manager

Schenectady, NY · On-site +1

$100K - $140K/yr

Skills and Qualifications * 5+ years experience in data analytics, data science, or related field ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

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 ...

Data Analyst

Albany, NY · On-site +1

$100K - $110K/yr

Collaborate with teams of data scientists to build pipelines for data engineering and machine ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

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 ...

This HYBRID position will be available at Wilmington DE and report directly to the Head of Data Science & AI. For the right candidate we may consider remote. Experienced full stack software engineer ...

Senior AI/ML Engineer

Albany, NY · On-site +1

$103.80K - $142.50K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

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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.

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 cities near Albany, NY are hiring for Remote Data Science jobs? Cities near Albany, NY with the most Remote Data Science job openings:
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.

Executive Director- Analytics and Data Science

Excelsior Collage

Albany, NY • On-site, Remote

$110K - $120K/yr

Full-time

Posted 29 days ago


Job description

The Executive Director, Analytics and Data Science, is a senior leader within Excelsior University's Office of Analytics and Data Science (ADS), reporting to the Chief Analytics Officer. This position oversees analytics initiatives supporting both Academic Affairs and Transformative Partnerships-leading a team of three data scientists and analysts to deliver high-impact insights that advance student success, curriculum optimization, enrollment growth, and institutional performance. The Executive Director collaborates directly with senior leadership, including the Provost, Executive Deans, and the Special Assistant for Transformative Partnerships, to translate data into strategy. The ideal candidate brings deep analytical expertise, organizational leadership, and the ability to synthesize complex findings into clear, actionable recommendations. This is a full-time hybrid role requiring a minimum of two onsite days per week at Excelsior University's headquarters in Albany, NY, with remaining days remote.
Duties and Responsibilities:
- Provide strategic leadership for analytics initiatives across Academic Affairs and Transformative Partnerships.
- Lead, mentor, and develop a team of three data scientists and analysts.
- Serve as primary liaison to Academic Affairs on student success, curriculum design, and faculty analytics.
- Serve as primary liaison to Transformative Partnerships on market growth, enrollment trends, and partner performance.
- Design and oversee predictive and prescriptive analytics models to inform institutional strategy.
- Translate data insights into clear, actionable recommendations for senior leaders.
- Partner with institutional leaders to define KPIs and success metrics.
- Ensure analytical outputs are methodologically sound, interpretable, and aligned with Excelsior's equity and innovation goals.
- Advance Excelsior's AI and decision-intelligence strategy in collaboration with the Chief Analytics Officer.
- Promote data literacy and evidence-based decision-making across the university.
- Maintain high standards of data governance, privacy, and integrity.
- Foster a culture of collaboration, innovation, and continuous improvement.
Qualifications:
  • Master's degree in Data Science, Operations Research, Statistics, Economics, Business Analytics, or a related field (or equivalent experience).
  • At least 10 years of progressively responsible experience in analytics or data science, including 3+ years in leadership.
  • Demonstrated success translating analytical insights into strategy for non-technical audiences.
  • Proven experience managing and mentoring analytical teams. Strong technical knowledge of predictive modeling, data visualization, and experimental design.
  • Excellent communication, collaboration, and organizational skills.

The hiring salary range for this position is $110,000.00 - $120,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.