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Panjiva

Data Scientist Panjiva
Cambridge, MA

Panjiva is an information platform for global trade professionals, providing a marketplace for international buyers and sellers to connect.

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About Panjiva

Job Description

Job Application for Data Scientist at Panjiva

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You'll be working with a variety of teams across the company: engineering, business development, sales, and design to explore exciting and meaningful problems.\u003c/p\u003e\n\u003cp\u003eStrong candidates can leverage a wide array of machine learning and statistical techniques at scale, to address challenges with semi-structured and multilingual international trade data. Responsibilities will include helping us develop the next generation of our product, as well as analysis of our internal metrics to assist the company in making a wide variety of data-driven decisions. Our team uses a range of tools including python, R, Ruby, and SQL to communicate and visualize results.\u003c/p\u003e\n\u003cp\u003e \u003c/p\u003e\n\u003cp\u003eAt Panjiva, you'll work on:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eFuzzy matching and clustering of data, at scale\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eNatural language processing, robust to messy text and multiple languages\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eImputation of missing data\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eNetwork analysis\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eInference of company structures\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eAnomaly detection\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eShipment trend prediction and modeling\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eOptimization of search weightings\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003ePredictive modeling of customer acquisition and retention\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e \u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003eRequirements\u003c/strong\u003e\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eB.S, M.S, or Ph.D. in a quantitative field, or equivalent experience\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeep statistical knowledge and a broad understanding of analytical and machine-learning techniques\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eTrack record of providing valuable insights into large, highly multidimensional datasets\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eExperience with a scripting language, such as Python with NumPy / SciPy or R, and the ability to use it to perform complex analyses of large data sets\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eBasic understanding of relational databases\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eStrong ability to communicate and visualize findings\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e \u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003eNice-to-Haves\u003c/strong\u003e\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eSolid understanding of relational databases, including advanced query techniques\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eBackground in text analysis / information retrieval algorithms\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eExperience building production software\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eFamiliarity with Ruby, Postgres\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eFamiliarity with libsvm\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eExperience with C++ or a similar highly performant language\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eFamiliarity with large-scale, distributed data processing techniques (Hadoop, Pig, Hive, etc.)\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eStartup experience\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e \u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003ePerks and Benefits\u003c/strong\u003e\u003c/h2\u003e\n\u003cul\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eCompetitive salary\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eBuild or buy your dream computer\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eHarvard Square office 1 minute walk from the Red Line T stop\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003e15 days vacation (rising to 25 days with longer tenure), 3 floating holidays / personal days, and 10-12 paid holidays annually, with unlimited sick leave\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eWeekly tech talks\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eHealth, dental, and vision insurance as well as many other benefits\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003e401(k) plan, with company matching\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eHacker Continuing Education Wednesdays i.e., craft beer tasting, ping pong lessons\u003c/span\u003e\u003c/li\u003e\n\u003cli style=\"font-weight: 400;\"\u003e\u003cspan style=\"font-weight: 400;\"\u003eWork with a talented, focused, driven team in a growing company with opportunity for advancement and career development\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003e\u003cstrong\u003eHow to apply\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003eTo

About Panjiva

Panjiva is an information platform for global trade professionals, providing a marketplace for international buyers and sellers to connect.

Headquarters
Size
58 employees
Panjiva

55 Water St

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