ABOUT US:  

Our story begins in 1984, with a group of friends who wanted to improve lives. Nu Skin founders Sandie Tillotson, Blake Roney, and Steve Lund committed to create beauty and skincare products with an "all of the good and none of the bad" mentality. Fast forward 37 years later, Nu Skin is operating and improving people's lives in nearly 50 markets across the world. Our founder’s dedication to premium beauty products and supporting independent business owners has kept us growing into the global, publicly traded company we are today. We promote a culture of being a "force for good" in the world while also providing personal and professional growth.  

ABOUT THE ROLE:  

The Data Scientist role will be an evolving role within our Data and Analytics team that designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders.  As a part of our digital transformation to Next Gen and customer obsessed strategy, you will collect domain context from stakeholders, define hypothesis and prediction tasks, identify and create supporting data sources, conduct experiments with various algorithms to model prediction tasks, undertake validation and tests of models to improve performance, produce pipelines that can be used to automate training and predictions with unseen or production data, identify meaningful insights from data sources, and contextualize model outputs to communicate with stakeholders (product owners, technology managers, engineering and architecture). You will work closely with business stakeholders, product owners, and related technology team members to ensure data quality requirements are properly documented and interpreted correctly. You will also be responsible for oversight of data quality rules development, data curation/ enrichment/ standardization rules, data flows and downstream impact and work with stakeholders to ensure compliance with all data governance and compliance policies and procedures, including those for data policies and standards, architecture, security, disaster recovery, and service provision. 

You are curious, persistent, logical, process and service-oriented – above all, a true problem solver and a techie. You enjoy developing elegant solutions for complex business solutions and business process problems and think out-of-the-box to challenge and find innovative improvements in the status quo. If this sounds like you, this could be the perfect opportunity to join us.  Scroll down to learn more about the position’s responsibilities and requirements.  

You have -  

Experience in developing and implementing algorithms and models to solve business problems, (e.g. natural language processing, computer vision, and recommendation systems). 

Passion and experience in conducting exploratory data analysis to identify trends, outliers, and potential data quality issues  

Experience in collaborating with software engineering teams to incorporate data science solutions into reusable software components  

Thirst in staying current with the latest advancements in data science and machine learning, building and delivering proofs-of-concept in order to address specific business needs using the most appropriate techniques, data sources, and technologies.  

Demonstrated experience as a data scientist, preferably with a focus on developing generative AI solutions  

Understanding of NoSQL (Graph, Document, Columnar) database models, XML, relational and other database models, and associated SQL  

Understanding of machine learning algorithms (e.g. k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests), statistical analysis, and data visualization techniques 

Demonstrated experience in data quality related technology tools, business processes and standard operations, including business rules, exception cases, workarounds and typical use cases of the data quality metrics, including the integration with all related applications and analytical platforms 

Ability to perform data profiling to assess data quality and to reverse-engineer database structures and data definitions by investigating actual data to create and validate hypothesis  

A passion for service excellence.  

You are -  

An entrepreneur at heart, a go-getter who will conduct independent research for complex business problems to find the right solutions to support growth at Nu Skin. This could involve technology solutions, workflows, process improvements and identifying partnership opportunities for collaboration 

A bimodal thinker with strategy and operations  

People person good at developing professional relationships with business and technology teams and empowering them with the right information to drive key decisions.    

A leader in figuring out appropriate technologies, and workflows in support of high scale big data queries and storage.  

Champion of operational excellence: demonstrable ability to carve out end to end processes to deliver high quality data and data science solutions.  

Capable of working on modern technology onboarding and working with vendors as needed.   

Experienced with NLP and text-based extraction techniques; 

Fluent in how to develop and operationalize data science analytical models so these models can run in an automated context 

Experienced in working in an agile environment and delivering proven results within deadlines 

WHAT YOU WILL DO:  

Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data-driven solutions.  

Design and develop end-to-end data analysis solutions, from data collection and preprocessing to model training and deployment; 

Work with deep learning frameworks and architectures 

Lead operational and/or data architecture discussions and ensure implementation of standards, guidelines, and best practices.  

Lead performance optimization and recommend system capacity changes.   

Respond to production incidents and availability needs and participate in an off-hours on-call rotation 

Be a passionate advocate for automation and provide advice for opportunities. 

Contribute to Architecture and its evolution by leveraging on process, people and technology changes.  

Facilitate and document artifacts during the Enterprise Architecture processes.   

Provide thought leadership, training, and mentoring of our engineering teams on reliability practices, processes, and technologies.   

FOR THIS ROLE, YOU WILL NEED:  

Data driven mindset; passion and thirst for experimentation; Think out-of-the-box for finding simple yet effective solutions.  

Drive for high quality data 

Capable of using professional judgment and facilitate/making timely decisions while dealing with uncertainties & inadequate information. 

A culture of benchmarking and optimization. 

Flexible schedule – some activities you'll be performing may require off-hours or weekend support.  

Bachelors’ Degree or higher in Computer Science or a related field. 

Overall, 5-10+ years' experience preferred in building large scale enterprise applications. 

Work experience in a cloud native environment (in AWS), Data Migration  

Work experience with Agile Methodology. 

HELPFUL TO HAVE:  

Gen AI experience 

Knowledge of Linux/Unix systems.   

Experience with Enterprise applications such as ERP, Ecommerce, CRM, Marketing, web, mobile, cloud application configuration and SAAS application architecture.  

Vendor management, contract management and negotiation 

AWS infrastructure and networking working experience.    

AWS Certification