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Job Information

Dow Jones Machine Learning Engineer in Los Angeles, California

Job Description:

Department/Product Overview:

The Data & Analytics department is the centralized data team at IBD that supports all business functions including Marketing, Product, Content, and Ad Sales. It consists of data professionals with diverse skills and experiences that covers the end-to-end data life cycle that includes data collection, data engineering, business intelligence, data science, and machine learning engineering. The data team collaborate closely with all business partners across IBD to drive business transformation and business growth.

Position Title:

Machine Learning Engineer

Position Location:

Los Angeles or New York

About the Role/Position:

Develop advanced data science solutions and end-to-end machine learning systems to drive customer base growth, new product development, and personalized customer experience for Investor’s Business Daily (IBD).

Primary Responsibilities/Accountabilities:

  • Collaborate with Engineering and business stakeholders to design, develop, and implement end-to-end scalable machine learning systems for customer targeting, messaging, acquisition, and retention.

  • Develop prediction algorithms, sorting algorithms, large-scale machine learning for recommendations and personalization with high quality, maintainable and scalable code.

  • Support marketing, product, content teams at IBD in optimizing all customer touch points by detecting usage patterns with data-driven methods and translating them into better customer experience and higher customer LTV.

  • Lead machine learning model deployment and production execution.

  • Design and analyze metrics to evaluate and monitor the effectiveness of deployed machine learning models.

  • Partner with data engineering team to integrate new data sources, uncover opportunities for machine learning automation and predictive modeling across IBD products.

  • Research and implement best practices to help develop and enhance machine learning infrastructure.

Knowledge/Experience Preferred:

  • Graduate degree in a quantitative field (Data Science, Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, etc.), Ph.D. preferred

  • 2+ years of work experience in a machine learning, data science, and data engineering

  • Familiar with broad range of Machine Learning techniques and relevant statistical packages to develop end-to-end machine learning solutions

  • Extensive experience with ML frameworks and expertise with at least one.

  • Ability to create proofs of concept and run experiments rapidly in notebook environment, making appropriate trade-offs between performance and complexity

  • Experience in contributing to production code bases.

  • An R&D mindset with the ability to dive into ambiguous projects and extract learnings that deliver business value and identify opportunities for innovative data solutions

  • Strong communication skills and the ability to explain complex analyses and algorithms to untechnical audiences

Preferred Tools/Skills:

  • Advanced knowledge of SQL

  • Extensive experience with big data platform (AWS, Spark, Hadoop)

  • Proficiency in one or multiple machine learning languages (Python, Java, C++)

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at Please put “Reasonable Accommodation" in the subject line.

Business Area: Investor's Business Daily

Job Category: IT Development Group

About Us

Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News.

This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.

Req ID: 26148