Data Scientist

Panjiva
 Cambridge, MA

Job Application for Data Scientist at Panjiva

First Name *

Last Name *

Email *

Phone *

Location (City) *

Resume/CV *

Drop files here

Attach Dropbox Google Drive Paste

Cover Letter

Drop files here

Attach Dropbox Google Drive Paste

When autocomplete results are available use up and down arrows to review

  • Add Another Education

LinkedIn Profile

Website

Security Clearance *

Please selectNo Clearance Active Confidential Active Secret Active Top Secret Active Top Secret SCI Inactive Confidential Inactive Secret Inactive Top Secret Inactive Top Secret SCI

Work Authorization

Please selectUnited States Citizen or Permanent Resident US Work Visa Holder No Visa: Seeking Work Authorization

How did you hear about this job?

School

Degree High School Associate's Degree Bachelor's Degree Master's Degree Master of Business Administration (M.B.A.) Juris Doctor (J.D.) Doctor of Medicine (M.D.) Doctor of Philosophy (Ph.D.) Engineer's Degree Other

Discipline Accounting African Studies Agriculture Anthropology Applied Health Services Architecture Art Asian Studies Biology Business Business Administration Chemistry Classical Languages Communications & Film Computer Science Dentistry Developing Nations Discipline Unknown Earth Sciences Economics Education Electronics Engineering English Studies Environmental Studies European Studies Fashion Finance Fine Arts General Studies Health Services History Human Resources Management Humanities Industrial Arts & Carpentry Information Systems International Relations Journalism Languages Latin American Studies Law Linguistics Manufacturing & Mechanics Mathematics Medicine Middle Eastern Studies Naval Science North American Studies Nuclear Technics Operations Research & Strategy Organizational Theory Philosophy Physical Education Physical Sciences Physics Political Science Psychology Public Policy Public Service Religious Studies Russian & Soviet Studies Scandinavian Studies Science Slavic Studies Social Science Social Sciences Sociology Speech Statistics & Decision Theory Urban Studies Veterinary Medicine Other

Start Date

End Date

Powered by

Read our Privacy Policy

{“@context“:“schema.org“,“@type“:“JobPosting“,“hiringOrganization“:{“@type“:“Organization“,“name“:“Panjiva“},“title“:“Data Scientist“,“datePosted“:“2017-05-22“,“jobLocation“:{“@type“:“Place“,“address“:{“@type“:“PostalAddress“,“addressLocality“:“Cambridge, Massachusetts, United States“,“addressRegion“:“MA“,“addressCountry“:null,“postalCode“:““}},“description“:“u003ch2u003eu0026nbsp;u003c/h2u003e

u003ch2u003eu003cstrongu003eSolve important and challenging problemsu003c/strongu003eu003c/h2u003e

u003cpu003eWe're looking for someone that can help us to solve the data challenges that we know we have, as well as help to identify new opportunities to leverage our data. 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/pu003e

u003cpu003eStrong 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. u0026nbsp;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/pu003e

u003cpu003eu0026nbsp;u003c/pu003e

u003cpu003eAt Panjiva, you'll work on:u003c/pu003e

u003culu003e

u003cliu003e

u003cpu003eFuzzy matching and clustering of data, at scaleu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eNatural language processing, robust to messy text and multiple languagesu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eImputation of missing datau003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eNetwork analysisu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eInference of company structuresu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eAnomaly detectionu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eShipment trend prediction and modelingu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eOptimization of search weightingsu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003ePredictive modeling of customer acquisition and retentionu003c/pu003e

u003c/liu003e

u003c/ulu003e

u003cpu003eu0026nbsp;u003c/pu003e

u003ch2u003eu003cstrongu003eRequirementsu003c/strongu003eu003c/h2u003e

u003culu003e

u003cliu003e

u003cpu003eB.S, M.S, or Ph.D. in a quantitative field, or equivalent experienceu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eDeep statistical knowledge and a broad understanding of analytical and machine-learning techniquesu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eTrack record of providing valuable insights into large, highly multidimensional datasetsu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eExperience 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 setsu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eBasic understanding of relational databasesu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eStrong ability to communicate and visualize findingsu003c/pu003e

u003c/liu003e

u003c/ulu003e

u003cpu003eu0026nbsp;u003c/pu003e

u003ch2u003eu003cstrongu003eNice-to-Havesu003c/strongu003eu003c/h2u003e

u003culu003e

u003cliu003e

u003cpu003eSolid understanding of relational databases, including advanced query techniquesu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eBackground in text analysis / information retrieval algorithmsu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eExperience building production softwareu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eFamiliarity with Ruby, Postgresu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eFamiliarity with libsvmu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eExperience with C+

  • or a similar highly performant languageu003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eFamiliarity with large-scale, distributed data processing techniques (Hadoop, Pig, Hive, etc.)u003c/pu003e

u003c/liu003e

u003cliu003e

u003cpu003eStartup experienceu003c/pu003e

u003c/liu003e

u003c/ulu003e

u003cpu003eu0026nbsp;u003c/pu003e

u003ch2u003eu003cstrongu003ePerks and Benefitsu003c/strongu003eu003c/h2u003e

u003culu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eCompetitive salaryu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eBuild or buy your dream computeru003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eHarvard Square office 1 minute walk from the Red Line T stopu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan 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 leaveu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eWeekly tech talksu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eHealth, dental, and vision insurance as well as many other benefitsu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003e401(k) plan, with company matchingu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eHacker Continuing Education Wednesdays i.e., craft beer tasting, ping pong lessonsu003c/spanu003eu003c/liu003e

u003cli style=“font-weight: 400;“u003eu003cspan style=“font-weight: 400;“u003eWork with a talented, focused, driven team in a growing company with opportunity for advancement and career developmentu003c/spanu003eu003c/liu003e

u003c/ulu003e

u003ch2u003eu003cstrongu003eHow to applyu003c/strongu003eu003c/h2u003e

u003cpu003eTo

Support