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

Data Modeler (CEMI)

Ithaca, NY · On-site +1

$54 - $70.25/hr

Data Modeler (CEMI) [Remote] [2 Year Term] No Visa Sponsorship is available for this position. This ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field and 5-7 ...

Senior Commissioning Agent

Ithaca, NY · On-site +1

$80K - $125K/yr

Taitem supports flexible work hours and a hybrid work environment, with in-office and remote work ... Ability to design and implement data collection systems including methods of storing, accessing the ...

Remote Data Science information

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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 Ithaca, NY? The most popular types of Data Science jobs in Ithaca, NY are:
What job categories do people searching Remote Data Science jobs in Ithaca, NY look for? The top searched job categories for Remote Data Science jobs in Ithaca, NY are:
What cities near Ithaca, NY are hiring for Remote Data Science jobs? Cities near Ithaca, NY with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Ithaca, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Modeler (CEMI)

Cornell University

Ithaca, NY • On-site, Remote

$54 - $70.25/hr

Full-time

Medical, Retirement

Re-posted 18 days ago


Job description

Working Title: Data Modeler (CEMI) [Remote] [2 Year Term]
No Visa Sponsorship is available for this position.
This is a two (2) year term appointment which may be ended or extended based on organizational needs, funding availability, and performance.
About Information Technology @ Cornell
Information Technology (IT) is a strategic enabler for many functions at Cornell University, with staff located across colleges, administrative units, and campuses throughout the institution. While comprised of many organizations, IT operates as one partnering closely with faculty, staff, and students to support teaching, research, and business operations. By being embedded where the Cornell community is, IT is well positioned to provide support ranging from day-to-day needs to large, complex initiatives that advance major academic, research, and operational objectives across the university. Check out this link to find out more about IT@Cornell.
The Data & Analytics function supports enterprise reporting and decision-making by integrating data from ERP systems and other institutional sources into a centralized data environment. The team develops scalable data models, analytics solutions, and reporting tools that enable business units across the university to efficiently access, interpret, and act on data.
What will you do:
The Data Modeler (CEMI) serves as a senior individual contributor responsible for the design, development, and maintenance of enterprise data models and analytics solutions supporting institutional reporting and decision-making.
This position leads the design of dimensional data models, data warehouses, and data marts, translating complex business requirements into scalable, high-performance data structures. This position will analyze source data structures and business processes from which they will build fact and dimension tables in a database. This role requires ability to work with SQL and to understand database fundamentals. This role will also be involved with the testing and validation of both data and models. The role works collaboratively with business stakeholders, data architects, developers, and analysts to define requirements, design solutions, and ensure data quality and usability across reporting platforms.
The Data Modeler functions as a technical authority and subject matter expert, guiding data design standards, mentoring peers, and ensuring solutions align with enterprise architecture and performance expectations. Work is highly complex, involving multiple systems (e.g., ERP, data lake environments) and requires advanced analytical, technical, and problem-solving capabilities.
This is a two (2) year term appointment which may be ended or extended based on organizational needs, funding availability, and performance.
While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field and 5-7 years of relevant experience, or equivalent combination of education and experience.
  • Demonstrated expertise in:
    • Dimensional data modeling (fact/dimension design)
    • Data warehousing, data marts, and data architecture
    • SQL development, query optimization, and data profiling
    • Source-to-target mapping and ETL processes
  • Experience translating business requirements into technical data solutions and models
  • Strong understanding of data structures, relationships, and database design principles (PK/FK, schemas)
  • Experience working across complex, multi-system environments (ERP, analytics platforms, etc.)
  • Ability to lead design sessions, facilitate requirements gathering, and guide technical solutions
  • Demonstrated ability to analyze and solve complex problems and develop scalable and efficient data solutions
  • Communicate technical concepts to non-technical stakeholders
  • Experience mentoring or providing technical guidance to peers
  • Ability to manage multiple priorities in a fast-paced, evolving environment
  • Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.

Preferred Qualifications:
  • Experience with BI and analytics tools (e.g., Power BI, Tableau, OBIEE)
  • Experience with ERP systems (e.g., Workday, PeopleSoft, SAP, Oracle)
  • Experience in higher education or similarly complex organizational environments
  • Familiarity with data lake architectures and modern analytics ecosystems
  • Experience developing data modeling standards and documentation

Application Information:
  • A resume is required for further consideration for this position. A cover letter expressing alignment with Cornell's mission and this role is strongly encouraged. When applying through our system, please remember to attach your application materials (Cover Letter and Resume) in PDF format.
  • No Visa Sponsorship of any kind is available for this position.
  • No Relocation assistance will be provided for this position

Rewards and Benefits
  • This position is based in Ithaca, New York, however, the successful applicant may perform this role remotely anywhere within the United States. Employees who work remotely may receive multiple W-2 Forms depending on their work location. The New York Convenience of employer guidelines require New York State individual tax reporting and withholding for this position. Additional individual state income tax filings may also be required if working temporarily outside of New York State. The university reserves the right to modify, suspend, or terminate the remote or hybrid work arrangement at any time.
  • Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell.
  • Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell
  • Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell
  • Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell.

University Job Title:
Business Intelligence Eng IV
Job Family:
Information Technology
Level:
G
Pay Rate Type:
Salary
Pay Range:
$114,698.00 - $140,186.00
Remote Option Availability:
Remote
Company:
Contact Name:
Maria Avila
Contact Email:
mia28@cornell.edu
Job Titles and Pay Ranges:
Non-Union Positions
Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:
  • Prior relevant work or industry experience
  • Education level to the extent education is relevant to the position
  • Unique applicable skills
  • Academic Discipline

To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator.
Union Positions
The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates.
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EEO Statement:
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
2026-06-10