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Afternoon Data Science Mentor Jobs in Miami, FL (NOW HIRING)

You will also contribute to building best practices in data science and mentor others in the team, helping elevate the technical capabilities and impact of those around you. Responsibilities

Lead Data Engineer

Miami, FL

$98K - $129.10K/yr

Stay current on industry trends and best practices in data engineering and data science * Provide technical guidance and mentorship to junior team members * Work closely with cross-functional teams ...

New

... science and machine learning methodologies to analyze vast claims and clinical data - Generate actionable insights aimed at reducing healthcare costs and enhancing population health - Lead and mentor ...

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Afternoon Data Science Mentor information

What are the key skills and qualifications needed to thrive as an Afternoon Data Science Mentor, and why are they important?

To thrive as an Afternoon Data Science Mentor, you need expertise in data analysis, machine learning, and programming languages such as Python or R, typically backed by a degree in a quantitative field and relevant industry experience. Familiarity with tools like Jupyter Notebook, Git, and data visualization platforms, as well as mentorship or teaching certifications, is often required. Strong communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding and supporting learners. These skills are essential to foster student growth, ensure comprehension of complex topics, and create a positive, engaging educational environment.

How does an Afternoon Data Science Mentor typically support students during their sessions?

As an Afternoon Data Science Mentor, you’ll work closely with students to clarify complex data science concepts, provide guidance on projects, and offer feedback on assignments. Mentors often facilitate group discussions, conduct one-on-one check-ins, and help students troubleshoot technical issues. The role requires patience, strong communication skills, and the ability to adapt explanations for learners with diverse backgrounds. Collaboration with other mentors and instructional staff is common to ensure students receive well-rounded support and up-to-date information.

What does an Afternoon Data Science Mentor do?

An Afternoon Data Science Mentor guides and supports students or junior data scientists during afternoon hours, helping them understand key data science concepts, troubleshoot problems, and complete projects. They typically provide one-on-one or group mentoring sessions, answer questions related to programming, statistics, and machine learning, and offer career advice within the data science field. Their goal is to facilitate learning and ensure students gain practical skills needed for data science roles.

What is the difference between Afternoon Data Science Mentor vs Data Science Instructor?

AspectAfternoon Data Science MentorData Science Instructor
CredentialsTypically requires a data science background, certifications, and mentoring experienceRequires a background in data science or related field, often with teaching certifications
Work EnvironmentOne-on-one or small group mentoring sessions, flexible hoursClassroom or online teaching, structured curriculum
Employer & IndustryEducational platforms, bootcamps, private coachingUniversities, coding bootcamps, online course providers
Search & Comparison IntentLooking for personalized guidance and mentorship in data scienceSeeking formal instruction or courses in data science

The main difference is that an Afternoon Data Science Mentor offers personalized, flexible mentorship to individuals, focusing on practical skills and guidance. In contrast, a Data Science Instructor provides structured teaching in a classroom or online setting, often following a set curriculum. Both roles require data science expertise but differ in delivery style and environment.

What are the most commonly searched types of Data Science Mentor jobs in Miami, FL? The most popular types of Data Science Mentor jobs in Miami, FL are:
What are popular job titles related to Afternoon Data Science Mentor jobs in Miami, FL? For Afternoon Data Science Mentor jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Afternoon Data Science Mentor jobs? Cities near Miami, FL with the most Afternoon Data Science Mentor job openings:
Associate Director, Data Science

Associate Director, Data Science

Chewy

Plantation, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Job Description:

Your Opportunity

Chewy is seeking an innovative and strategic Associate Director, Data Science to lead our growing Customer Care AI and Advanced Analytics organization. In this role, you will lead a high-performing team of Data Scientists and Machine Learning Engineers while driving the vision, strategy, and execution of AI and machine learning capabilities across Customer Care.

This leader will oversee a broad portfolio of initiatives spanning customer-facing AI experiences, agent-assist technologies, intelligent routing, operational optimization, forecasting, and emerging generative AI applications. You will partner closely with Product, Engineering, Operations, Data Platforms, and executive leadership to deliver scalable, data-driven solutions that improve customer experience, increase operational efficiency, and accelerate business impact.

The ideal candidate combines strong technical depth with strategic thinking, organizational leadership, and operational excellence. You are comfortable navigating ambiguity, balancing short-term execution with long-term direction, and influencing decisions across multiple teams and senior stakeholders. This is a hands-on leadership role that requires the ability to guide complex initiatives from concept through production while establishing scalable frameworks, standards, and best practices across the organization.

If you are passionate about building high-performing teams, solving complex business problems through AI and advanced analytics, and shaping the future of customer experience at scale, we’d love to talk with you.

What You’ll Do

  • Define and drive the strategic direction for AI and Data Science capabilities across Customer Care, leading a diverse portfolio of initiatives spanning customer experience, agent productivity, intelligent routing, operational optimization, forecasting, and generative AI.
  • Lead and scale high-performing teams of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, innovation, accountability, and continuous learning.
  • Drive prioritization and execution across multiple workstreams, balancing long-term strategic investments with near-term business impact.
  • Partner with senior leaders across Product, Engineering, Operations, Workforce Management, Finance, and Data Platforms to identify opportunities, influence roadmaps, and align technical solutions with organizational goals.
  • Lead the development and operationalization of scalable machine learning and AI solutions, ensuring reliability, performance, governance, and maintainability across evolving systems and technologies.
  • Establish best practices for experimentation, model validation, deployment, monitoring, MLOps, and continuous improvement to support enterprise-scale AI capabilities.
  • Navigate complex dependencies across real-time systems, traditional machine learning models, and LLM-based architectures while driving scalable and sustainable technical solutions.
  • Influence architectural direction, technical standards, and platform strategy to improve consistency, scalability, and operational efficiency across teams and use cases.
  • Communicate complex technical concepts, business insights, trade-offs, and recommendations effectively to executive and non-technical stakeholders.
  • Build organizational capability by mentoring senior technical talent, developing future leaders, and creating scalable operating mechanisms that enable team growth and execution excellence.
  • Stay ahead of emerging trends in AI, machine learning, NLP, and generative AI, evaluating opportunities to create competitive advantage and measurable business value for Chewy.  

What You’ll Need

  • Master’s degree (or Ph.D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
  • 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical fields, including multiple years leading and scaling technical teams.
  • Proven experience driving large-scale AI/ML initiatives from concept through production in complex, cross-functional environments.
  • Demonstrated success leading teams across multiple domains or portfolios while influencing organizational strategy and business outcomes.
  • Deep expertise in machine learning, statistical modeling, experimentation, optimization, NLP, LLMs, and generative AI applications.
  • Strong understanding of scalable ML systems, MLOps, CI/CD pipelines, model governance, and operational best practices.
  • Experience partnering across Product, Engineering, Operations, and executive leadership to drive prioritization, alignment, and delivery.
  • Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.
  • Experience with cloud platforms and large-scale data technologies such as Spark, dbt, Iceberg, Redshift, Athena, or similar tools.
  • Exceptional communication, organizational, and stakeholder management skills, with the ability to translate complex technical concepts into strategic business recommendations.
  • Proven ability to navigate ambiguity, influence decision-making, and balance competing priorities in a fast-paced environment.

Nice to Have

  • Experience in customer care, contact center, workforce optimization, or operational analytics environments.
  • Experience with recommendation systems, graph-based modeling, optimization, or real-time decisioning systems.
  • Previous experience in retail, e-commerce, or high-growth technology organizations.
  • Experience building and scaling AI platforms or enterprise-wide machine learning capabilities. 
The base salary range for this role is $186,500 - $265,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011