Senior Data Science Lead

Brillio

Senior Data Science Lead responsible for designing data science solutions and mentoring junior data scientists at Brillio, a digital technology service provider.

Posted 6/12/2026full-timeTampa • Florida • 🇺🇸 United StatesSenior💰 $140,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

CloudKerasPySparkPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team

Requirements

What you’ll need

12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
Location: Deerfield Beach, FL
Work Type: Hybrid min 3 days onsite per week
Key Responsibilities: 1. Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making 2. Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms 3. Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes 4. Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning 5. Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML 6. Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights 7. Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI 8. Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills: 1. Expertise in hypothesis testing, T-Test, and Z-Test 2. Advanced proficiency in regression techniques (linear and logistic) 3. Strong programming skills in Python and PySpark 4. Experience with SAS or SPSS for statistical analysis and computing 5. Hands-on knowledge of probabilistic graph models 6. Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet 7. Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX 8. Experience with model deployment tools such as KubeFlow and BentoML 9. Strong understanding of classification algorithms (decision trees, SVM) 10. Proficiency in R and R Studio
Preferred Skills: 1. Experience with Great Expectation and Evidently AI for model validation and monitoring 2. Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan) 3. Expertise in scalable data engineering for machine learning pipelines 4. Hands-on experience with cloud-based machine learning platforms 5. Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications: 1. Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field 2. Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Brillio Website LinkedIn All Job Openings 1001 - 5000 employees 🤖 Artificial Intelligence 🔒 Cybersecurity 💰 Private Equity Round on 2019-01 Artificial Intelligence
Consulting
Cybersecurity Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages. Senior Data Science Lead 🔥 1 hour ago 🏢🏡 Tampa – Hybrid 💵 $140k - $150k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making
Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms
Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes
Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning
Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML
Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights
Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI
Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team 🎯 Requirements
12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning
Location: Deerfield Beach, FL
Work Type: Hybrid min 3 days onsite per week
Key Responsibilities: 1. Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making 2. Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms 3. Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes 4. Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning 5. Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoML 6. Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insights 7. Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI 8. Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the team
Required Skills: 1. Expertise in hypothesis testing, T-Test, and Z-Test 2. Advanced proficiency in regression techniques (linear and logistic) 3. Strong programming skills in Python and PySpark 4. Experience with SAS or SPSS for statistical analysis and computing 5. Hands-on knowledge of probabilistic graph models 6. Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet 7. Forecasting techniques, including exponential smoothing, ARIMA, and ARIMAX 8. Experience with model deployment tools such as KubeFlow and BentoML 9. Strong understanding of classification algorithms (decision trees, SVM) 10. Proficiency in R and R Studio
Preferred Skills: 1. Experience with Great Expectation and Evidently AI for model validation and monitoring 2. Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan) 3. Expertise in scalable data engineering for machine learning pipelines 4. Hands-on experience with cloud-based machine learning platforms 5. Familiarity with MLOps best practices and CI/CD for data science
Desired Qualifications: 1. Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field 2. Relevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent) Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

data sciencestatistical modelingmachine learninghypothesis testingregressionclassificationforecastingdata engineeringprobabilistic graph modelsprogramming in Python

Soft Skills

leadershipmentoringcollaborationcommunicationtechnical excellencecontinuous learningstrategic decision-makinganalytical thinkingproblem-solvingcross-functional teamwork

Certifications

TensorFlow certificationSAS certificationmachine learning certificationdata science certificationanalytics certification