Data Scientist & ML Engineer — Personalization

Ethereum Technologies LLC; San Diego (CA); On-site; USD 92,000 - 131,000; Full time

Job summary

Ethereum Technologies in San Diego, CA is seeking an experienced Data Scientist / Machine Learning Engineer for a 12-month engagement. You will perform advanced data analysis, build ML models, and enhance relevance and personalization across customer journeys.

The role emphasizes Python, SQL, scikit-learn, NLP, and large-scale data processing. You will collaborate with product managers, software engineers, and designers to deliver data‑driven solutions that improve customer experience and

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related technical field.
• 4+ years of industry experience in Data Science and Machine Learning.
• 4+ years of experience with advanced analytical tools & programming languages, particularly Python and scikit-learn.
• Strong proficiency in SQL, Hive, SparkSQL, or similar technologies.
• 4+ years of hands‑on experience in applied machine learning and statistical modeling.

Responsibilities

• Perform advanced data analysis and develop machine learning models.
• Improve relevance, recommendation, and personalization algorithms across customer journeys.
• Collaborate with product managers, software engineers, and designers to develop data‑driven solutions that boost customer experience and business outcomes.

Skills

Python

scikit-learn

SQL

Hive

SparkSQL

NLP

Deep learning

Statistical modeling

Education

Bachelor's/Master's/PhD in CS/Stats/OR

Job description

Ethereum Technologies in San Diego, CA is seeking an experienced Data Scientist / Machine Learning Engineer for a 12-month engagement. You will perform advanced data analysis, build ML models, and enhance relevance and personalization across customer journeys.

The role emphasizes Python, SQL, scikit-learn, NLP, and large-scale data processing. You will collaborate with product managers, software engineers, and designers to deliver data‑driven solutions that improve customer experience and