Job Description:About us:
OPIS, a Dow Jones company, is one of the world’s most comprehensive sources for petroleum pricing and news information.
OPIS provides real-time and historical spot, wholesale/rack, and retail fuel prices for the refined products, renewable fuels, and natural gas and gas liquids (LPG) industries. We deliver award-winning news, market intelligence, and transparency to the entire refined energy marketplace and companies looking to go carbon neutral. At its core, OPIS uses a set of complex IT systems and tools, handling huge amounts of data in a reliable way, and providing customers with business applications to use this data as efficiently as possible.
About the Team:
The OPIS Data Science team is a collaborative group of Data Scientists and Data Engineers dedicated to tackling intricate data challenges. Our team leverages extensive industry knowledge, robust analytical skills, and a practical approach to address our organization's most complex business dilemmas.
About the Role:
OPIS is actively seeking a highly experienced Lead Data Scientist to take on a pivotal role within our Data Science team. Reporting directly to the Director of Data Science, you will be a leader in data science and AI expertise, working closely with other Data Scientists and Data Engineers on the team. You are joining a fast-paced Product Technology team specializing in the development of innovative AI and data science products for both internal users and external customers.
Collaborate with our agile product teams, providing expertise in business understanding, data discovery, cleansing, mapping, profiling, mining, and predictive modeling.
Apply modern analytical methods, like deep learning and open-source frameworks (e.g., TensorFlow, PyTorch), to create production-ready statistical and machine learning models, including time series forecasting and natural language processing.
Write efficient, adaptable model code across various features and highly skilled in debugging methods.
Stay at the forefront of data science and machine learning technology while improving best practices and upholding high data ethics and privacy standards.
7+ years of hands-on experience in data science and machine learning, managing both structured and unstructured data
Hands-on experience and deep understanding in the following areas: time series forecasting (ARIMA, LSTM, Prophet), deep learning (CNNs, RNNs), and NLP, including text classification, sentiment analysis
Advanced experience in Python programming and strong knowledge of BI tools (e.g., Power BI) and key data science libraries like TensorFlow, PyTorch, and scikit-learn.
Advanced experience in SQL coding and relational database management skills.
Expertise in data preprocessing, feature engineering, and data wrangling with experience applying theoretical models in an applied environment.
Familiar with cloud AI environments (such as AWS SageMaker, Azure ML, or Google).
Excellent communication and time management skills
Fluent in English speaking and writing.
Comprehensive Healthcare Plans
Paid Time Off
Comprehensive Insurance Plans
Family Care Benefits
Commuter Transit Program
Employee Referral Program
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 TalentResourceTeam@dowjones.com. Please put "Reasonable Accommodation" in the subject line.
Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. 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, email us at email@example.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Business Area: OPIS
Job Category: Data Analytics/Warehousing & Business Intelligence
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: 39719