IC3 Data Scientist, Cornell Tech (NYC)

Details

Posted: 28-Apr-24

Location: Ithaca, New York

Type: Full-time

Salary: Open

Categories:

Staff/Administrative

Internal Number: 3-81629

IC3 Data Scientist, Cornell Tech (NYC)

About IC3 (Initiative for CryptoCurrencies and Contracts) at Cornell Tech

IC3 is an initiative of faculty members at Carnegie Mellon University, Cornell University, Cornell Tech, EPFL, ETH Zurich, University of Bern, UC Berkeley, University College London, UIUC, SMU, and the Technion. It's based at the Jacobs Technion-Cornell Institute at Cornell Tech in NYC.

Position Summary

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a psychologically 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.

This is a benefit-eligible position for a fixed-term of 3 years, with possibility of extension. This position is located at Cornell Tech in New York City. This position can be performed partially remotely, with an expected work arrangement of approximately 3 days on campus / 2 days remote work.

Visa Sponsorship is not available for this position.

Essential Functions Include

The data scientist will serve in a staff position within the Initiative for CryptoCurrencies and Contracts (IC3). Responsibilities will include:

• Work with various research groups in ic3 to understand and help advance their projects
• Organize, analyzing, and interpreting blockchain and blockchain-relevant data
• Devise and implement ways to present research results both within the research community and to the broader blockchain community
• Devise and implementing systems for data preservation
• Engage in community outreach through presentations and preparation of educational materials
• Work with on- and off-chain data to contribute to research projects on blockchain systems.
• Identify and mine reliable internal and external data sources.
• Design custom tools to optimize data mining, cleaning, validation, and analysis tasks.
• Develop and apply custom data models and algorithms to data sets.
• Develop tools and testing models to ensure data accuracy.
• Create and present reports that detail your findings, recommendations, and solutions.
• Use deep learning and pattern recognition to automate problem-solving techniques.
• Deploy data tools such as Python, R, SAS, or SQL in data analysis.
• Create algorithms and data models to forecast outcomes.

Required Qualifications

• Master's degree in computer science, data analytics, or a related discipline, and up to 2 years' relevant experience or an equivalent combination of education and experience
• Industry experience with blockchain technology, familiarity with smart contracts, and experience working with an academic research group are position requirements.
• Knowledge of and experience working with data from Decentralized Autonomous Organizations (DAOs)
• Experience using Tableau
• Experience using Python, R, SQL and possibly C, C++, Java, and/or JavaScript
• Experience using platforms such as MapReduce, Hadoop, Hive, MySQL
• Experience with business intelligence and data analytics tools
• Experience with blockchain data analysis from on and off-chain sources
• Proficiency with technical writing and public speaking
• Familiarity with machine learning techniques and when they should be used
• Familiarity with statistical and data mining techniques and when it is appropriate to use them
• Strong problem-solving skills
• Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing.
• Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members.

Preferred Qualifications

• Basic knowledge of the workings of DAOs is preferred.
• Advanced degree in data science or related field
• Entrepreneurial spirit
• Leadership and project management training

Culture of Inclusion and Community Standards

As an individual contributor you will model and support a culture of diversity, equity, inclusion, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture.

Rewards And Benefits

University Job Title:

Statistician II

Job Family:

Academic Support

Level:

F

Pay Rate Type:

Salary

Pay Range:

$81,552.00 - $110,205.00

Remote Option Availability:

Hybrid Remote

Company:

Endowed

Contact Name:

Evelyn Gordon

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 (faculty pay ranges reflects 9-month annual salary)

Union Positions

Current Employees:

Online Submission Guidelines:

Employment Assistance:

Notice to Applicants:

EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, 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. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.

2024-04-26