MI/ Panjiva is a data-driven technology company that uses machine learning to extract insights from global trade data. This unstructured data describes the behavior of the many real-world entities such as companies, products, and ports that make up international trade .
Panjiva's data help s power the decisions of our thousands of clients, including Fortune 500 companies, hedge funds, and logistics providers, in additio n to universities, government agencies, and NGO s .
The Data Science team creates state of the art model s that enable the P anjiva platform . We work with h ighly complex , often unstructured, data f rom disparate sources , in many different languages. We use a wide variety of ML and AI tech niques but have a special focus on NLP and Time S eries.
Our work is core to the value Panjiva provides our customers. As an example, we built a custom text classification model that handles rare terms ( e.g. Aluminum zirconium tetrachlorohydre x gl y ), multiple languages, and misspellings that traditional language embedding techniques struggle with. This model allows our customers to search our data by industry standard product categories, rather than relying on text-based searches.
We are seeking talented data scientist s to join our team. Strong candidates are able to leverage a wide array of machine learning and statistical techniques and to dig deep into our data with an eye for detail. You wi ll collaborate with a variety of teams across the company (analy tics , engineering, product, and commercial) in unlocking value from our data.
Responsibilities:
Large-scale clustering entity resolution and fuzzy text matching
Document classification via natural language processing
Anomaly detection, trend prediction, and modeling on the global supply chain network
Identification and evaluation of novel, complementary data s ets Extracting insights from messy, usually un-labeled, data cross multiple languages
Work and speak with customers to build solutions catered to their needs
What We're Looking For: Qualifications:
3-4+ years of relevant Data Science or Machine Learning Engineer experience
Thorough understanding of statistical, analytical, and traditional machine-learning techniques
Thorough understanding of NLP techniques including deep learning
Track record of providing valuable insights into large, multidimensional datasets
Strong coding skills in Python or another scientific language.
Experience performing data analysis, modeling, and generating visualizations
Comfort working with relational databases and SQL
Strong ability to communicate and visualize findings
Advanced degree in a quantitative field, or equivalent experience
Nice-to-Haves:
Background in time series or forecasting.
Background in information retrieval .
Comfort with software development standard practices, including version control, unit testing, and code review
Experience deploying and maintaining models in a production environment
Some exposure to Ruby
Domain knowledge on international economics and trade
S&P Global states that the anticipated base salary range for this position is $70,000 to $139,000. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit S&P Benefits .
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S&P Global Market Intelligence is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.spglobal.com/marketintelligence .
Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
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