Data Science Intern Learn and contribute Nicely Co.'s trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight as Data Science Intern, with meaningful ownership in an early-stage company. Position overview Nicely Co. is seeking a Data Science Intern to strengthen trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. This role will turn company priorities into clear, dependable work while partnering directly with colleagues across functions.Nicely Co. is an early-stage company, so this position will help create the processes and internal systems behind the work, not merely inherit a mature playbook. The successful candidate will use sound judgment, communicate tradeoffs, and operate with appropriate autonomy.Responsibilities may evolve as the company grows. This is an opportunity to influence how the Data & Analytics function develops, establish useful standards, and leave behind systems that scale responsibly. Responsibilities Support trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. Translate the priorities of the Data Science Intern role into documented plans, decisions, and measurable outcomes. Build lightweight, repeatable processes that fit an early-stage company and can mature over time. Collaborate across functions to resolve dependencies and deliver complete outcomes. Identify risks early, recommend proportionate solutions, and escalate consequential decisions. Maintain accurate documentation and handle company, customer, and employee information responsibly. Use relevant evidence and feedback to improve quality, efficiency, and stakeholder experience. Communicate progress, constraints, priorities, and results clearly to affected teammates. Qualifications Active study, recent study, independent learning, or project experience relevant to Data & Analytics. Genuine interest in learning the work of a Data Science professional. Clear written and verbal communication and a willingness to ask thoughtful questions. Organization, reliability, curiosity, and respect for confidential information. Ability to share examples from coursework, volunteering, personal projects, or other learning. Preferred qualifications Experience with modern methods and tools used in Data & Analytics. Experience in a startup, small business, or other resource-conscious environment. Evidence of improving a workflow, standard, product, service, or measurable outcome. Relevant coursework, projects, community work, or a portfolio. Flexible work arrangements where applicable. Opportunity to help build an early-stage company. Direct impact on company growth and operating quality. Cross-functional collaboration and professional development opportunities. Significant ownership over assigned responsibilities. Opportunity for responsibilities to expand as the company grows. #J-18808-Ljbffr
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