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Remote Associate Data Scientist Jobs (NOW HIRING)

They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance decision-making in finance. The role involves ...

New

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models ...

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional travel to the client location is required. * Candidates might need to overlap with offshore on need ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0241019 Location: San Antonio,TX,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Fully remote anywhere in the United States. Employment Type: 6 month contract with possibility to extend or convert. Role Overview A position is available for a Data Scientist to develop predictive ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

Data Scientist

Bellevue, WA · On-site +1

$112K - $142K/yr

We are seeking a Data Scientist to join our team. In this role, you will analyze, manipulate, clean ... remote at a home office located anywhere in the U.S. If you don't feel you met every single ...

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Senior Data Scientist PAY RANGE: $150,000 - $200,000 LOCATION: McLean, VA JOB SUMMARY : Are you ... We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ...

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Remote Associate Data Scientist information

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$57.5K

$68K

$129K

How much do remote associate data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote associate data scientist in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.
More about Remote Associate Data Scientist jobs
What cities are hiring for Remote Associate Data Scientist jobs? Cities with the most Remote Associate Data Scientist job openings:
What are the most commonly searched types of Remote Data Scientist jobs? The most popular types of Remote Data Scientist jobs are:
What states have the most Remote Associate Data Scientist jobs? States with the most job openings for Remote Associate Data Scientist jobs include:
Infographic showing various Remote Associate Data Scientist job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.
Data Scientist (Remote)

Full-time

Posted 6 hours ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

80th of 516 rated manufacturers


Job description

Job Summary:
Corning Incorporated is a leading innovator in glass, ceramic, and materials science. They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance decision-making in finance. The role involves designing enterprise-grade AI/ML models and collaborating with cross-functional teams to drive digital transformation initiatives.
Responsibilities:
• Design, develop, and validate foundational, reusable AI/ML models and frameworks that can be leveraged across multiple finance functions.
• Apply advanced statistical and machine learning methods—including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and Generative AI—to solve complex cross-functional finance business problems.
• Implement best practices across the full model lifecycle, including problem framing, data quality assessment, feature engineering, validation, interpretability, monitoring, documentation, and reproducibility.
• Evaluate existing models, metrics, and workflows critically, and recommend enhancements to improve robustness, scalability, and operational efficiency.
• Partner with ML Engineers and Data Engineers to transition prototypes and research into production-ready, governed AI solutions.
• Translate analytical findings into clear business insights and recommendations for senior finance leaders and executives.
• Coach and mentor embedded Finance data scientists on modeling standards, reusable approaches, and best practices.
• Stay informed on emerging AI/ML research, tools, and methodologies, and identify opportunities to adopt innovations that deliver measurable business value and can be operationalized responsibly.
• Communicate learnings, model performance, and standards through presentations, documentation, and knowledge-sharing forums.
• Compile, integrate, and prepare internal and external data sources for advanced analysis and modeling.
• Contribute high-quality, well-documented code to shared repositories in accordance with enterprise standards.
Qualifications:
Required:
• Minimum of 5 years of experience applying data science and machine learning methods to solve complex business problems.
• Master’s degree or PhD in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Economics, or Finance.
• Academic coursework in applied statistics, machine learning, or data science.
• Demonstrated ability to work independently while contributing effectively within highly collaborative, cross-functional teams.
• Proven success in converting research and analytical work into production-ready solutions.
• Strong curiosity and willingness to challenge conventional processes and assumptions.
• Self-motivated with a commitment to continuous learning and staying current with evolving AI/ML tools and practices.
• Ability to communicate complex technical analysis clearly and effectively to senior business stakeholders.
• Strong proficiency in Python and the broader Python AI/data science ecosystem.
• Experience with Git-based source control, including platforms such as GitHub or GitLab.
Preferred:
• Coursework or demonstrated interest in Finance, Economics, or Operations Management.
• Familiarity with Databricks and cloud-based machine learning platforms such as AWS or Azure.
• Experience with distributed computing frameworks such as Spark.
• Prior publications or conference presentations in quantitative or technical fields.
Company:
Corning is a manufacturer of glass, ceramics, and related materials. Founded in 1851, the company is headquartered in Corning, USA, with a team of 10001+ employees. The company is currently Late Stage.

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