Data Science Lead & Architect, Real-Time Data Systems

prove.com; United States; Hybrid; USD 179,000 - 200,000; Full time

Benefits offered by this job

Unlimited vacation

401(k) retirement plan

Health coverage

Wellness services

Job summary

Prove.com in the United States is seeking a Data Science Lead to architect and manage the data ecosystem. This pivotal role focuses on designing data architectures, leading R&D for innovative data sources, and establishing robust analytical methodologies to ensure the integrity and scalability of data operations. The ideal candidate will have over 6 years in data science, with a minimum of 2 years in a leadership role.

The position also involves ensuring seamless integration of analytical models into business products and requires proficiency in Python, SQL, and familiarity with cloud platforms. Benefits include competitive salaries, bonuses, and a flexible work environment.

Qualifications

• 6+ years in Data Science/Data Engineering, including 2 in a leadership role.
• Deep understanding of data modeling and statistical evaluation.
• Ability to communicate complex architectures to non-technical stakeholders.

Responsibilities

• Design scalable data architectures for analytics and ML.
• Evaluate new data sources for predictive power.
• Maintain documentation and standards for analytics methodologies.

Skills

Data Science

Data Engineering

Python

SQL

Machine Learning

Big Data

Cloud Platforms

MLOps

Tools

Spark

Kafka

Airflow

Job description

Prove.com in the United States is seeking a Data Science Lead to architect and manage the data ecosystem. This pivotal role focuses on designing data architectures, leading R&D for innovative data sources, and establishing robust analytical methodologies to ensure the integrity and scalability of data operations. The ideal candidate will have over 6 years in data science, with a minimum of 2 years in a leadership role.

The position also involves ensuring seamless integration of analytical models into business products and requires proficiency in Python, SQL, and familiarity with cloud platforms. Benefits include competitive salaries, bonuses, and a flexible work environment.