RippleMatch

Digital Data Science Analyst Intern

RippleMatch

internship

Posted on:

Location Type: Remote

Location: Remote • California, Massachusetts, New York, Pennsylvania, Texas • 🇺🇸 United States

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Salary

💰 $35 per hour

Job Level

Entry Level

Tech Stack

CloudD3.jsETLIoTJavaJavaScriptMS SQL Server.NETNoSQLOraclePythonScalaSOAPSpringSQLTableau

About the role

  • Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences.
  • Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability
  • Develop data models for digital solutions in various industries covering themes like forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking
  • Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies
  • Design and implement machine learning and data management strategies
  • Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research
  • Drive internal initiatives and contribute to development of company culture and fellow interns

Requirements

  • A bachelor's degree in progress from an accredited college or university
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
  • An undergraduate Computer Science, Data Science, Engineering, Machine Learning, Mathematics, Statistics or similar quantitative degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027
  • Previous internship or part-time analytical work experience
  • The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations
  • Demonstrated abilities in leadership and team building
  • Proficiency with Machine Learning model development and mathematical disciplines
  • Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services
Benefits
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data modelingmachine learningpredictive maintenancenatural language processingdata managementforecastingrisk analysisasset efficiencymulti-dimensional correlationstatistical analysis
Soft skills
leadershipteam buildingorganizational skillscommunicationclient interfacingpresentation skillscollaborationinnovationproblem-solvingtime management