1

Director Data Science Jobs in Spring Hill, FL (NOW HIRING)

Data Engineer - Senior Manager

Tampa, FL ยท On-site

$124K - $280K/yr

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

... science more broadly. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct ...

You will direct teams through complexity, demonstrating composure in challenging situations, and ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

AI Solutions Engineering Delivery Lead

Tampa, FL ยท On-site

$96K - $127K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

US Tech - AI Engineering Manager

Tampa, FL ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Design, develop and modify software systems, using scientific analysis and mathematical models to ... Director - Data Engineering, Senior Consultant, Data Specialist, Assistant Systems Engineer or ...

TS/SCI security clearance Master's Degree in Data Science, Computer Science, Statistics, Operations ... Activities Direct experience with Maven Smart System, Command and Control in the Information ...

Showing results 21-40

Director Data Science information

See Spring Hill, FL salary details

$45.8K

$131.4K

$207K

How much do director data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for director data science in Spring Hill, FL is $131,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $160,800.00 per year, depending on experience, location, and employer.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What are the most commonly searched types of Data Science jobs in Spring Hill, FL?

The most popular types of Data Science jobs in Spring Hill, FL are:

What job categories do people searching Director Data Science jobs in Spring Hill, FL look for?

The top searched job categories for Director Data Science jobs in Spring Hill, FL are:

What cities near Spring Hill, FL are hiring for Director Data Science jobs?

Cities near Spring Hill, FL with the most Director Data Science job openings:

Infographic showing various Director Data Science job openings in Spring Hill, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,394 per year, or $63.2 per hour.

Machine Learning Engineer

Revenue Management Solutions

Tampa, FL โ€ข On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Description
THE OPPORTUNITY
As a machine learning engineer, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our clients. This position requires basic knowledge of Data Science methods and a strong, applied knowledge of Python and SQL. Experience deploying models in cloud-based environments is desired.
RIGHT TO WORK
Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.
WHO YOU'LL WORK WITH
You'll work with as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. We take pride in encouraging each other's career ambitions and you'll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.
WHAT YOU'LL DO
  • Monitor model performance both pre- and post-deployment
  • Develop pipelines to collect, transform, and aggregate data
  • Work with CI/CD pipelines to create and deploy artifacts
  • Refactor code to perform efficiently in scaled environments
  • Creatively design solutions to analytical problems using quantitative and qualitative approaches to drive high-end business value
  • Develop and maintain documentation articulating methodology and architecture, as well as data dictionaries
  • Effectively and concisely articulate processes to internal parties

SKILLS AND QUALIFICATIONS
  • Strong knowledge with Python, including experience building custom packages
  • Experience with Scala or Spark will be considered an asset
  • Some cloud-based experience; Azure preferred
  • Ability to manage multiple projects independently
  • Working knowledge of statistics, machine learning and deep-learning algorithms
  • 2+ Years Experience
  • Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED
  • Graduate degree, or supplementary courses in Data Science, Data Engineering or Machine Learning

BENEFITS
as a full-time RMS Employee, you will be eligible for:
  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  • Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE
Now more than ever, Revenue Management Solutions (RMS) is committed to supporting restaurants through these ever-changing times. Today, more than 50 major brands in over 40 countries trust RMS for data-driven analytics and tech-enabled solutions to optimize sales, menus and a brand's financial health. Six of the top 10 US fast food brands and 16 of the top 30 global restaurant brands (equaling more than 100,000 restaurants) rely on RMS' software solutions and actionable insights to make informed business decisions that drive profitability and combat inflation and increasing wages. The company holds five US patents on menu pricing and customer segmentation and supports ongoing academic research efforts. For more information on how RMS helps its clients, visit revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create a positive change in the communities we inhabit. With over 20 countries represented throughout our offices, we respect and embrace different cultures, interests, and actions. The acknowledgment of our unique identities is something that connects us across continents to uphold our values of diversity, respect, and responsibility.