Principal Data Architect, Data Science

🕒 October 15

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Egen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.

📋 Description

• Design and build data ingestion pipelines for feature engineering and machine learning • Create predictive features using healthcare data, statistics, and data science • Perform feature extraction and selection using clustering, text analytics, and PCA • Conduct exploratory data analysis to identify patterns, trends, and relationships • Experiment with statistical and machine learning methods to build, tune, and optimize predictive models • Ship production code following engineering best practices • Document work and communicate approaches, insights, and solutions to technical and non-technical audiences • Build and maintain pipelines and processes supporting enterprise data science products • Ensure data and outputs remain accurate and reliable • Partner with stakeholders, data scientists, data engineers, and product managers to deliver data products • Work with Google Cloud and Salesforce platforms to help clients drive action and impact through data and insights

🎯 Requirements

• 6+ years working across data science and machine learning (for the Lead level) • Expert-level SQL and Python • Hands-on work with structured and unstructured data, such as tables, text, images, and video • Experience with relational (SQL) and non-relational (NoSQL) databases • Familiarity with ETL and data processing tools like Apache Spark • Experience using tools to visualize data and monitor its health • Comfort with automated testing and CI/CD • Experience with Docker • Experience deploying to GCP or another cloud platform • All roles are subject to standard hiring verification practices, which may include background checks and employment verification

🏖️ Benefits

• Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Sick Leave • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses • Background checks, employment verification, and other standard hiring verification practices • Equal opportunity, inclusion, diversity, and equity commitment • Reasonable accommodations during all aspects of the selection process

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