Principal Data Scientist

Ethereum Technologies; Vienna (VA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Ethereum Technologies seeks a senior data scientist to design and evaluate large predictive models and advanced algorithms. You will test hypotheses, analyze results, and translate complex data into actionable insights for stakeholders.

You will develop software, analyze data quality, and present findings. Strong communication, technical writing, and project leadership are essential to drive strategic decisions across teams.

Qualifikationen

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative field.
• Master's/PhD preferred for advanced analytics leadership roles.
• Experience applying analytics, ML, and statistical methods to solve business problems.

Aufgaben

• Design, develop, and evaluate large predictive models and advanced algorithms.
• Test hypotheses/models, analyze results, and interpret findings.
• Develop actionable insights and recommendations for stakeholders.
• Transform data into charts, tables, and formats to aid decision making.

Kenntnisse

Data Science

Machine Learning

Data Visualization

SQL

Python

Big Data

Technical Writing

Communication

Project Management

Ausbildung

Bachelor's Degree in Data Science or related

Master's/PhD preferred

Tools

Hadoop

SAS

SPSS

Scala

AWS

Jobbeschreibung

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• Design, develop, and evaluate large and complex predictive models and advanced algorithms
• Test hypotheses/models, analyze, and interpret results
• Develop actionable insights and recommendations
• Develop and code complex software programs, algorithms, and automated processes
• Use evaluation, judgment, and interpretation to select right course of action
• Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Transform data into charts, tables, or format that aids effective decision making
• Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders
• Develop and maintain strong working relationships with team members, subject matter experts, and leaders
• Lead moderate to large projects and initiatives
• Model best practices and ethical AI
• Works with senior management on complex issues
• Assist with the development and enhancement practices, procedures, and instructions
• Serve as technical resource for other team members

Qualifications

• 6+ years of experience with requisite competencies
• Complete knowledge and full understanding of specialization
• Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization
• Programming, data modeling, simulation, and advanced mathematics
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Advanced knowledge of procedures, instructions and validation techniques
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Problem Solving (Identifies the constraints and risks)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
• 6+ years of experience applying advanced analytics, machine learning, and statistical methods to solve complex business problems and influence strategic decisions.
• Strong understanding of the end-to-end data science lifecycle, including data quality assessment, feature engineering, model development, validation, deployment, monitoring, and governance.
• Expertise in Voice of the Member, customer feedback, survey, complaint, contact center, or digital interaction data, with the ability to turn unstructured feedback into actionable insights.
• Experience applying Natural Language Processing (NLP), text analytics, sentiment analysis, topic modeling, and/or Large Language Models (LLMs) to understand customer needs, behaviors, and experiences.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.