Data Scientist, Dow Jones
Business news and financial information publishing
Job no longer available
Business news and financial information publishing
1001+ employees
Job no longer available
1001+ employees
Company mission
To deliver trusted news and data to help businesses and society make decisions for a better future.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field
- At least 3 years of industrial experience in a data science or machine learning engineering role
- Strong programming skills in Python and/or another high-level language commonly used in machine learning
- Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
- Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval
- Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure
- Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.)
- Experience with version control systems such as Git
What the job involves
- Dow Jones is seeking a skilled Data Scientist to join our AI Engineering Team
- You will design, construct, and maintain machine learning pipelines tailored for various AI applications, particularly focusing on Natural Language Processing
- Collaborating with our engineering team, you'll integrate machine learning models, optimize performance, and ensure effective real-world application of machine learning solutions
- As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines
- You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization's needs, and deliver tangible value through actionable outcomes
- Collaborate within the AI Engineering Team to maintain robust data pipelines supporting various ML models, focusing on information retrieval applications
- Analyze and clean large datasets to optimize reusable ML models
- Partner with stakeholders across the company to translate business requirements into technical solutions
- Utilize analytical skills for NLP modeling, algorithm selection, and POC development
- Develop data enrichment pipelines to enhance insights aligned with strategic objectives
- Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data
- Integrate diverse ML models into systems, ensuring interoperability and performance optimization
- Lead efforts to optimize ML model performance through data analysis and validation in real-world applications
- Stay updated on AI, ML, and NLP advancements, incorporating emerging trends into processes
Our take
Dow Jones is a global leader in news and business intelligence, powering a range of well-respected brands, including The Wall Street Journal, Financial News, MarketWatch, and more. The company delivers its content to consumers through a range of formats, such as print, digital, mobile, and live events.
As companies seek to draw Millennials and Gen Z consumers to their platforms, adaptability is vital, since they are driving the demand for innovative tools and techniques, as the world evolves toward the digital-first era. Dow Jones has proven its ability to meet product optimization challenges with its reimagined Factiva offering that includes a list of new features, such as personalized results, an easy-to-use modern interface, and faster free-text search, all with a mobile-first design that adapts to any device.
The company has also focused on new product innovation by expanding its portfolio of capabilities and partnerships, further expanding into AI-powered personalization technologies and ongoing digital transformation. Already a powerhouse in the market, Dow Jones is well set to capitalize on future expansion and innovation opportunities and between 2019 and 2024, doubled its digital subscription base from 2.43 million to 4.86 million.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company benefits
- 20 weeks of parental leave
- 4 weeks of paid caregiver leave
- Up to 4 weeks of remote work per year
- 1 paid volunteer day annually
- $700 caregiver reimbursement
- Headspace emotional wellness membership
- ClassPass fitness and wellness membership
- Financial rewards for well-being activities
Company HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO)Before becoming the CEO of Dow Jones and Publisher of The Wall Street Journal, they were the Publisher of Barron’s Group and Executive VP of Dow Jones. They were also the previous Executive Editor of The Wall Street Journal.
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