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Internship Predictive Modeling Jobs in Florida (NOW HIRING)

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

... diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to ... Knowledge of data modeling, data mining and data cleansing techniques; and data analysis.

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Internship Predictive Modeling information

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

What are the most commonly searched types of Predictive Modeling jobs in Florida? The most popular types of Predictive Modeling jobs in Florida are:
Data Scientist

Full-time

Posted 13 days ago


Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

Required Skills
Required Experience