Data Science Intern

Nicely Co.; Tulsa (OK); On-site; USD 21,000 - 34,000; Part time

Job summary

Nicely Co. is seeking a Data Science Intern to support trustworthy data, analysis, modeling, reporting, measurement, governance, and actionable business insight. You will partner across functions to turn priorities into dependable work while helping build the processes behind the work in an early-stage company.

The successful candidate will learn, communicate tradeoffs, and operate with appropriate autonomy, shaping how the Data & Analytics function develops as the company grows.

Qualifications

• Familiarity with data analysis concepts and governance is a plus.
• Willingness to learn and grow in a fast-paced, early-stage environment.
• Strong communication skills for cross-functional collaboration.
• Ability to maintain confidentiality and handle sensitive information.
• Demonstrated self-motivation through coursework, projects, or volunteering.

Responsibilities

• Support data, analysis, modeling, and governance efforts.
• Translate priorities into documented plans and measurable outcomes.
• Build lightweight, repeatable processes for an early-stage company.
• Collaborate across functions to resolve dependencies and deliver outcomes.
• Identify risks and propose proportionate solutions.
• Maintain documentation for company, customer, and employee data.
• Use evidence and feedback to improve quality and stakeholder experience.
• Communicate progress and results clearly to teammates.

Skills

Data & Analytics understanding

Strong written and verbal comm.

Curiosity and learning

Organization and reliability

Ability to share coursework/examples

Job description

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.