Lead Data Scientist, Dow Jones
Business news and financial information publishing
Open for applications
Business news and financial information publishing
1001+ employees
Open for applications
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
- 7+ years of industry experience in data science or machine learning engineering, with experience leading projects and mentoring teams
- Expert-level programming skills in Python or another high-level language commonly used in machine learning
- Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn)
- Experience with information retrieval techniques and structured data extraction from unstructured sources
- Hands-on experience with LLM APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure (AWS, GCP)
- Proficiency in containerization and orchestration technologies such as Docker and Kubernetes for scalable ML solutions
- Demonstrated ability to drive impact in AI-driven applications such as document analysis, classification, summarization, translation, personalization, and chatbots
What the job involves
- Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions
- With a keen focus on delivering the latest solutions, we shape the digital landscape for our customers, readers, and users
- From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video, and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints
- Collaborating with our newsrooms and strategic partners, we lead the development of groundbreaking products and technologies
- Dow Jones is looking for an experienced Lead Data Scientist to guide and enhance the core data science capabilities within the Dow Jones AI Engineering Team and our Commercial Tech team
- You will take ownership of designing, constructing, and maintaining machine learning pipelines tailored for multiple AI applications, with a focus on Natural Language Processing
- You will oversee the data science project development lifecycle, from data analysis and model selection to developing proofs of concept and refining pipelines
- Lead collaboration within the AI Engineering Team to maintain and optimize robust data pipelines supporting multiple ML models, with a focus on information retrieval and AdTech applications
- Engineer scalable, high-performance machine learning solutions, using modern modeling techniques, rigorous testing methodologies, and early validation on targeted user cohorts
- Guide strategic decision-making by drawing meaningful insights from large datasets, defining key metrics, and developing relevant solutions to address business challenges
- Partner with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with strategic objectives
- Lead the integration and deployment of diverse ML models into production systems, ensuring interoperability, performance optimization, and real-world effectiveness
- Mentor junior team members, promoting collaboration, knowledge sharing, and professional development, while contributing to strategic decision-making to enhance the AI capabilities of the team
- Stay ahead of AI, ML, and NLP advancements, incorporating new trends to enhance processes and model performance
- Identify and scope new data programs, asking thoughtful questions, diagnosing the primary business problems, and developing long-term, impactful solutions
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 HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO, not founder)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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