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Data Scientist

Confidential ClientSoftware & Technology
Entry LevelFull-timeHybridN/A
Tampa, Florida
A Day Ago

The Data Scientist at Confidential Client applies advanced data science and deep learning techniques to develop machine learning models and analytical solutions that drive significant business value. Working hybrid in the Tampa office, the role involves building complex datasets, performing exploratory data analysis, and collaborating with AI and Machine Learning teams to solve critical business problems using Python and SQL.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting, Business Consulting and Services, Hospitality.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


The Opportunity

Confidential Client is seeking a Data Scientist to join their Research & Development team in Tampa, FL. This hybrid role (in-office ~3 days/week) focuses on building scalable analytics and machine learning solutions that deliver measurable business value. You will work with product and engineering partners to turn complex data into repeatable models and insights.


What You’ll Do

  • Implement scalable analytical solutions and production-ready models
  • Build complex datasets and feature stores from disparate sources
  • Create project plans, test approaches, and evaluate results to answer business questions
  • Perform exploratory data analysis and apply data-mining techniques
  • Document methodology, feature engineering, and model-development decisions
  • Present findings and support internal teams to articulate processes and results

Skills & Qualifications

  • Working knowledge of statistics, machine learning and deep learning, and data-mining algorithms
  • Hands-on experience coding in Python
  • Proficiency with SQL and experience working with large data sets
  • Practical experience with Git and source control workflows
  • Strong interpersonal and written/verbal communication skills
  • Ability to manage multiple projects and deadlines effectively
  • Bachelor’s degree in Economics, Mathematics, Engineering, Computer Science, or another quantitative/technical field (required)

Preferred

  • Graduate degree or coursework in Statistics, Economics, Data Science, or Data Engineering
  • Experience deploying models or building feature stores for production environments

Benefits

As a full-time employee of our client, you will be eligible for competitive benefits including:

  • 100% employer-paid HSA medical (or 80% employer-paid medical for HMO/PPO plans for eligible dependents)
  • Dental and vision coverage (80% employer-paid)
  • Basic life and AD&D insurance (100% employer-paid)
  • Telemedicine (100% employer-paid)
  • 401(k) with company match (4% of annual gross salary) and immediate vesting
  • Tuition assistance and ongoing education support
  • Generous paid time off (15 business days first year, increasing with tenure), eight paid holidays + one floating holiday
  • Paid parental leave, paid parking, and health club membership

Who You’ll Work With

You will report to the Senior Director of AI and Machine Learning and collaborate closely with data engineers, product managers, and client-facing teams to design and deliver data-driven solutions that optimize pricing, menus, and financial performance for hospitality clients.


Right to Work & Employment

Candidates must have the legal right to work in the United States. Our client will not sponsor work authorization for this role. Employment is with Confidential Client.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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