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Remote Director Machine Learning Jobs in Florida

WAI Global

$234K/yr

The role may be onsite or remote based on business needs and candidate profile. This role owns the ... Develop and support machine learning and statistical methods for revenue trends, sales forecasting ...

Phsorg

Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Hybrid ... Establish a multi-year roadmap for AI, machine learning, generative AI, workflow automation, and ...

FIS

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Worldpay, Inc.

Data Scientist Sr Lead

Jacksonville, FL · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

BAE Systems

IT Sys Arch Sr Prin

Fort Walton Beach, FL · On-site +1

$85K - $117K/yr

Own end-to-end solutions of design, develop, and deploy robust machine-learning algorithms ... Remote About BAE Systems, Inc. BAE Systems, Inc. is a defense, aerospace, and security company ...

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Remote Director Machine Learning information

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are the most commonly searched types of Remote Machine Learning jobs in Florida?

The most popular types of Remote Machine Learning jobs in Florida are:

What are popular job titles related to Remote Director Machine Learning jobs in Florida?

For Remote Director Machine Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in Florida look for?

The top searched job categories for Remote Director Machine Learning jobs in Florida are:

What cities in Florida are hiring for Remote Director Machine Learning jobs?

Cities in Florida with the most Remote Director Machine Learning job openings:

Remote Director Machine Learning jobs near you

Machine Learning Engineer/Data Scientist

3B Staffing LLC

Tampa, FL • Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

POSITION

Machine Learning Engineer/Data Scientist

LOCATION

Remote

DURATION

6-12 mo

INTERVIEW TYPE

Video

VISA RESTRICTIONS

None

REQUIRED SKILLS

Python

SQL

Data Science

NLP

Machine Learning

Required Capabilities:

  • True Data Scientist with strong NLP, not a software engineer.
  • SQL for Gridspsace opporability
  • Python
  • Nice to have domino lab

Introduction:

Join our dynamic team at Kforce, a leading player in the insurance industry, as a Data Scientist. You will be pivotal in enhancing our customer interactions by developing advanced data solutions focused on analyzing call quality within our contact center. This role requires a blend of expertise in Python, SQL, and NLP technologies to drive improvements and deliver actionable insights.

Responsibilities:

  • Data Analysis and Modeling: Utilize Python and SQL to gather, process, and analyze large datasets related to customer interactions within the contact center
  • Data Scientist, someone with strong SQL, Python, and NLP (e.g. Sentence Transformers) experience and is able to learn the quality space quickly

-NLP Implementations: Develop and implement NLP models to analyze and interpret complex linguistic data from customer calls, extracting insights to improve call quality and customer satisfaction.

Solution Development: Design and build scalable data solutions that integrate with existing contact center technologies to monitor, report, and improve call quality metrics.

Cross-functional Collaboration: Work closely with IT, customer service, and quality assurance teams to align data science projects with business objectives and ensure seamless implementation.

-Continuous Improvement: Monitor model performance and make continuous improvements, adapting to new challenges and changing business needs.

Reporting and Visualization: Create reports and dashboards for business stakeholders, providing clear visualizations and actionable insights from complex datasets.

Requirements:

Education & Experience:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science with a strong focus on Python and SQL.
  • Experience in applying NLP techniques in a business environment, preferably in a contact center or customer service setting.

Technical Skills:

  • Expertise in Python programming and familiarity with data science libraries (e.g., Pandas, NumPy, SciPy).
  • Proficient in SQL and experience with database management systems.
  • Hands-on experience with NLP tools and libraries (e.g., NLTK, spaCy, or Transformers).

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to translate complex data into actionable insights for non-technical stakeholders.

Technology:

  • We are looking for a data scientist
  • NLP
  • Other skills: SQL, Python, NLP, Automation
  • Domino Data Lab

Apply