Lead Data Scientist
Lead Data Scientist
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Job Description
Job Description:
About Our Organization:
Dow Jones is a global provider of news and business information delivering content to consumers and organizations around the world across multiple formats including print digital mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the worlds largest newsgathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal Americas largest newspaper by paid circulation; Barrons MarketWatch Mansion Global Financial News Investors Business Daily Factiva Dow Jones Risk & Compliance Dow Jones Newswires OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS NWSA; ASX: NWS NWSLV).
About the Team:
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.
About the Role:
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.
You Will:
- 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 highperformance machine learning solutions using modern modeling techniques rigorous testing methodologies and early validation on targeted user cohorts.
- Guide strategic decisionmaking by drawing meaningful insights from large datasets defining key metrics and developing relevant solutions to address business challenges.
- Partner with crossfunctional 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 realworld effectiveness.
- Mentor junior team members promoting collaboration knowledge sharing and professional development while contributing to strategic decisionmaking 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 longterm impactful solutions.
You Have:
- 7 years of industry experience in data science or machine learning engineering with experience leading projects and mentoring teams.
- Expertlevel programming skills in Python or another highlevel language commonly used in machine learning.
- Expertise in NLP and Machine Learning frameworks and libraries (e.g. PyTorch HuggingFace LangChain spaCy NLTK scikitlearn).
- Experience with information retrieval techniques and structured data extraction from unstructured sources.
- Handson experience with LLM APIs for preprocessing finetuning and deploying models on cloudbased infrastructure (AWS GCP).
- Proficiency in containerization and orchestration technologies such as Docker and Kubernetes for scalable ML solutions.
- Demonstrated ability to drive impact in AIdriven applications such as document analysis classification summarization translation personalization and chatbots.
Our Benefits
- Comprehensive Healthcare Plans
- Paid Time Off
- Retirement Plans
- Comprehensive Insurance Plans
- Lifestyle programs & Wellness Resources
- Education Benefits
- Family Care Benefits & Caregiving Support
- Commuter Transit Program
- Subscription Discounts
- Employee Referral Program
Business Area:
Dow Jones TechnologyJob Category:
Data Analytics/Warehousing & Business IntelligenceUnion Status:
NonUnion roleEmployment Type
Full-Time
