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Smile Science Jobs (NOW HIRING)

SITA Switzerland Sarl

Lead Data Scientist

Fallston, NC · On-site +1

Master's degree in Data science, Computer Science, Mathematics, Physics or equivalent proven ... We will spend eight hours a day together, and we prefer to spend them with a good mood and a smile ...

Star Dental Partners

Dental Hygienist

Atlanta, GA · On-site

$36.50 - $48.25/hr

Intown Smile Studio implements the latest science, education, and state-of-the-art technology to benefit our patient's overall health. If you are a Hygienist that appreciates the science of dentistry ...

Star Dental Partners

Dental Hygienist

Atlanta, GA · On-site

$36.50 - $48.25/hr

Intown Smile Studio implements the latest science, education, and state-of-the-art technology to benefit our patient's overall health. If you are a Hygienist that appreciates the science of dentistry ...

Star Dental Partners

Dental Hygienist

Atlanta, GA

$36.50 - $48.25/hr

Intown Smile Studio implements the latest science, education, and state-of-the-art technology to benefit our patient's overall health. If you are a Hygienist that appreciates the science of dentistry ...

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Smile Science information

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$24.5K

$48.4K

$79K

How much do smile science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for smile science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Smile Scientist, and why are they important?

To thrive as a Smile Scientist (a dental professional with expertise in esthetic dentistry), you need a dental degree (DDS or DMD), strong knowledge of dental anatomy, and proficiency in cosmetic dental procedures. Familiarity with dental imaging software, CAD/CAM systems, and certification in cosmetic dentistry techniques are typically required. Exceptional attention to detail, communication skills, and an artistic eye help professionals excel in creating natural-looking, confident smiles for patients. These skills are essential to ensure high-quality, customized care and to enhance patient satisfaction and trust.

What is Smile Science?

Smile Science is a multidisciplinary field that focuses on the scientific study and enhancement of smiles, often combining elements of dentistry, psychology, and aesthetics. It involves analyzing facial structure, dental alignment, and the psychological impact of smiles to create individualized treatment plans for improving smiles. Professionals in Smile Science may use advanced imaging technology, cosmetic dentistry techniques, and behavioral studies to help patients achieve confident and natural-looking smiles. The field is growing as more people seek personalized and scientifically-backed approaches to smile design and dental care.

How does a Smile Science professional typically collaborate with dental teams to enhance patient outcomes?

A Smile Science professional, often a dental specialist with expertise in cosmetic procedures and facial aesthetics, works closely with general dentists, orthodontists, and sometimes maxillofacial surgeons. Collaboration involves jointly developing treatment plans, sharing patient records, and conducting interdisciplinary case reviews to ensure that both oral health and aesthetic goals are met. Regular communication and a team-based approach help achieve optimal results for patients seeking smile makeovers, dental restorations, or orthodontic treatments. This collaborative environment not only advances patient care but also provides opportunities for professional growth within the dental field.

What is the difference between Smile Science vs Dental Assistant?

AspectSmile ScienceDental Assistant
Required CredentialsCertification in Smile Science or related coursesDental assisting certification or diploma
Work EnvironmentSpecialized clinics focusing on smile enhancementGeneral dental offices, clinics, hospitals
Industry UsageEmerging field in cosmetic and smile designEstablished role in dental healthcare
Job FocusSmile design, cosmetic procedures, patient educationAssisting dentists, patient care, sterilization

Smile Science professionals focus on smile design and cosmetic procedures, often requiring specialized certification. Dental Assistants support general dental practices with patient care and administrative tasks. While both roles work within dental environments, Smile Science is more specialized in aesthetic treatments, whereas Dental Assistants have a broader support role across dental services.

More about Smile Science jobs
What cities are hiring for Smile Science jobs? Cities with the most Smile Science job openings:
What job categories do people searching Smile Science jobs look for? The top searched job categories for Smile Science jobs are:
Smile Science jobs near you

Lead Data Scientist

SITA Switzerland Sarl

Fallston, NC • On-site, Remote

Full-time

Posted 19 days ago

Job description

Overview
WELCOME TO SITA

At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.

You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work® by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.

Are you ready to love your job?

The adventure begins right here, with you, at SITA.

ABOUT THE ROLE AND THE TEAM

You will be part of thehighly talentedindividuals'team responsible for bringing the Air Transport Industry data to the next level. Yourday by day will include working with Data Models,extractingand digginginto different Datasets coming from Airports, Airplanes, andGround Handlers,tounderstandit andget insights using ML and AI techniques. Among all the data of the industry, we are planning to train ML Models so we can make this industry more reliable and easier tooperate.We at SITA are the biggest Tech Service provider worldwide for theAir TransportIndustry. Wehave tons of data and now we want to make use of itto make our customers’ lives easier! 

We are looking for aData Scientistto join the Central Data Platform Team and design, develop, andmaintainreference data models and explore how to get better insights out of the huge amount of data we have on our data sets.The goal then is to move towards more complex models and AI-based systems that can eventually automate some of the operational tasks in the industry. 

WHAT YOU WILL DO: 

  • Design, train, and validate statistical and machine learning models and help deploying them into production. 

  • Collaborate with our product colleagues, data architects, analysts, and business stakeholders across the Air Transport Industry totranslate requirements into technical solutions. 

  • Explore and apply modern technologies (e.g.,Databricks,AzureML, LLMs) to enable advanced analytics and AI/ML use cases (use-case driven). 

  • Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability. 

  • Participate in research and innovation, bringing new ideas to the team and helping expand our technical and scientific knowledge. 

  • Be an active participant in product development conversations, proposing new features and providing the data science perspective in everything we build. 

  • Be a technical reference within the team, fostering growth and promoting best practices. 


Qualifications

ABOUT YOUR SKILLS: 

  • Master’s degree in Data science, Computer Science, Mathematics, Physics or equivalent proven experience. 

  • 4-5 years of hands-on experience in applied data science on an enterprise ecosystem, with focus on machine learning ML techniques and natural language processing NLP with focus on LLMs. 

  • Strong understanding of: 

  • Supervised and unsupervised learning applied to ML. 

  • Time series forecasting 

  • Optimization techniques (basic linear programming or heuristics is a plus) 

  • Model evaluation and validation frameworks 

  • LLM: 

  • Develop of automatic translation pipelines based on agents using LLMs and prompting engineering techniques. 

  • Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability. 

  • Proficiencyin SQL andPython, with clean coding and OOP practices. 

  • Experience working with cloud-based environments (Azure ML, Databricks preference). 

  • We will spend eight hours a day together, and we prefer to spend them with a good mood and a smile on our faces. Having a good atmosphere at work is a must for our teams! 

  • Strong collaboration skills, with the ability to enable and advise teams without taking ownership of their delivery. 

  • Proactive and solution-oriented mindset. 

  • Flexibility and adaptability in dynamic environments. 

  • Curiosity and eagerness to learn new tools and improve processes. 

WHAT WE OFFER

We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

Flex Week: Work from home up to 2 days/week (depending on your team's needs)

Flex Day: Make your workday suit your life and plans.

Flex-Location: Take up to 30 days a year to work from any location in the world.

Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.

Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.

Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.

Qualifications:

ABOUT YOUR SKILLS: 

  • Master’s degree in Data science, Computer Science, Mathematics, Physics or equivalent proven experience. 

  • 4-5 years of hands-on experience in applied data science on an enterprise ecosystem, with focus on machine learning ML techniques and natural language processing NLP with focus on LLMs. 

  • Strong understanding of: 

  • Supervised and unsupervised learning applied to ML. 

  • Time series forecasting 

  • Optimization techniques (basic linear programming or heuristics is a plus) 

  • Model evaluation and validation frameworks 

  • LLM: 

  • Develop of automatic translation pipelines based on agents using LLMs and prompting engineering techniques. 

  • Evaluate LLMs performance, conduct error analysis, and iterate to improve accuracy, fairness, and reliability. 

  • Proficiencyin SQL andPython, with clean coding and OOP practices. 

  • Experience working with cloud-based environments (Azure ML, Databricks preference). 

  • We will spend eight hours a day together, and we prefer to spend them with a good mood and a smile on our faces. Having a good atmosphere at work is a must for our teams! 

  • Strong collaboration skills, with the ability to enable and advise teams without taking ownership of their delivery. 

  • Proactive and solution-oriented mindset. 

  • Flexibility and adaptability in dynamic environments. 

  • Curiosity and eagerness to learn new tools and improve processes. 

WHAT WE OFFER

We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

Flex Week: Work from home up to 2 days/week (depending on your team's needs)

Flex Day: Make your workday suit your life and plans.

Flex-Location: Take up to 30 days a year to work from any location in the world.

Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs.

Professional Development: At SITA, we believe growth fuels innovation. Our learning ecosystem offers access to world-class platforms and programs designed to help you thrive. From LinkedIn Learning, Microsoft's Enterprise Skills Initiative, and Airport Council International -available to all employees-to specialized solutions like Pluralsight for technology upskilling, Harvard Business Publishing for people leadership, Stanford for strategic development and many others, we align learning opportunities with your Development Plan and our business priorities. Your development journey is supported every step of the way.

Competitive Benefits: Competitive benefits that make sense with both your local market and employment status.

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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