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Full Time Job

Data Scientist

Hearst

New York, NY 10-05-2021
 
  • Paid
  • Full Time
  • Mid (2-5 years) Experience
Job Description
We're looking for an exceptional data scientist to build and maintain our warehouse and pipelines for both business intelligence as well as deploying models for our varied requirements. The best candidate will have a let's get it done attitude, the ability to learn about the business and to work with a variety of stakeholders. You have a growth mindset, and want to bring data fluency to your team. How you'll make an impact

What you'll do
• Translate business and functional requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture
• Implement data ingestion routines both real time and batch using best practices in data modeling and ETL/ELT processes
• Design and implement data microservices to feed products, models, and services
• Monitor and improve data warehouse and database performance
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Perform security assessments of the database systems and make required adjustments to eliminate database vulnerabilities
• Use profiling tools, debugging logs, performance metrics, and other data sources to make code and application level improvements
• Design easy-to-consume, unified data schemas by transforming and cleaning our data
Work with PMs to validate their hypotheses about our product
• Pull data, build dashboards, and keep a watchful eye on the overall health of our marketplace
• Promote data fluency across the team
• Develop interesting insights to drive data-driven content marketing

Who you are
• You have 2+ years experience in data engineering with large scale datasets. Ideally at a startup or mid-size tech company
• You have 1+ years experience backend engineering
• You're experienced with AWS (EC2, EMR, RDS), PostgreSQL, MongoDB
• You are proficient in Node.js, SQL, and MQL
• You are proficient in database modeling, designing efficient data structures and database schemas
• You are proficient with data wrangling to answer analytical questions
• You are proficient in database performance analysis and tuning
• You're experienced with operating high-availability systems
• You understand best practices and methods for quantitative and qualitative testing
• You have experience building, integrating, and maintaining data pipelines and machine learning models
• You are highly skilled at SQL
• You have a deep understanding of the internals of database and storage systems
• You have coding experience in at least one of {Python, Ruby, Perl, R, Matlab}
• You're familiar with statistical models and analysis methods
• You've proven to initiate and drive projects to completion with minimal guidance
• You have a degree in computer science or equivalent a plus
• You have strong verbal and communication skills; ability to paint a compelling narrative with data

#L1-AH1

Jobcode: Reference SBJ-g4wk5z-3-12-161-77-42 in your application.

Company Profile
Hearst

Hearst Magazines isone of the largest publishers in the world, with more than25 brands, including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper's BAZAAR, Popular Mechanics, and O the Oprah Magazine. We reach more than 150 million people every month in the United States alone.