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Data Scientist Cosmetic Jobs in Bothell, WA (NOW HIRING)

Sono Bello

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

With over 130 locations, Sono Bello is the largest and fastest-growing cosmetic surgery practice in ... Bachelor's or Master's in Computer Science, Data Engineering, or related field. * Azure ...

All JobsData Scientist Cosmetic JobsData Scientist Cosmetic Jobs in Bothell, WA

Data Scientist Cosmetic information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do data scientist cosmetic jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist cosmetic in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

How does a Data Scientist in the cosmetics industry typically collaborate with product development and marketing teams?

As a Data Scientist in the cosmetics industry, you play a pivotal role in bridging technical analytics with creative product development and marketing strategies. You'll often work closely with product development teams to analyze consumer trends, ingredient effectiveness, and test results, providing data-driven insights that guide new product formulations. Additionally, collaboration with marketing teams is common, where you'll help interpret customer feedback, segment audiences, and evaluate the success of campaigns to drive targeted strategies. Effective communication and the ability to translate complex data into actionable recommendations are key strengths for success in this collaborative environment.

What are Data Scientist Cosmetic jobs?

Data Scientist Cosmetic jobs involve using data analytics, machine learning, and statistical techniques to analyze trends, consumer preferences, and product performance within the cosmetics industry. These professionals work with large datasets from sources like sales, social media, and product testing to help companies develop better products and marketing strategies. They also play a key role in optimizing supply chains, forecasting demand, and ensuring regulatory compliance through data-driven insights. By turning complex data into actionable recommendations, data scientists support innovation and competitiveness in the cosmetics sector.

What are the key skills and qualifications needed to thrive as a Data Scientist in the cosmetics industry, and why are they important?

To thrive as a Data Scientist in cosmetics, you need strong analytical, statistical, and programming skills, typically supported by a degree in data science, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms, along with experience in handling large datasets and possibly certifications like Certified Data Scientist, is highly valuable. Outstanding communication, creativity, and business acumen help you translate complex data insights into actionable strategies tailored to the beauty market. These skills enable informed product development, targeted marketing, and better customer experiences, driving competitive advantage in the fast-paced cosmetics industry.

What is the difference between Data Scientist Cosmetic vs Data Scientist Beauty Products?

AspectData Scientist CosmeticData Scientist Beauty Products
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentCosmetic manufacturing, R&D labs, marketing teamsBeauty product companies, R&D, marketing, and sales teams
Industry UsageUsed in cosmetic formulation, consumer insights, product developmentApplied in skincare, makeup, fragrance product analysis, and development
Common Search/ComparisonYesYes

Both Data Scientist Cosmetic and Data Scientist Beauty Products roles involve analyzing consumer data, product performance, and market trends within the beauty industry. The main difference lies in their focus areas: Cosmetic data scientists often work on formulation and product development, while Beauty Products data scientists may focus more on marketing analytics and consumer insights across various beauty categories.

What job categories do people searching Data Scientist Cosmetic jobs in Bothell, WA look for? The top searched job categories for Data Scientist Cosmetic jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Scientist Cosmetic jobs? Cities near Bothell, WA with the most Data Scientist Cosmetic job openings:
Data Scientist Cosmetic jobs near you
Data Engineer

Data Engineer

Sono Bello

Bellevue, WA • Hybrid

$125K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Sono Bello rating

6.3

Company rating: 6.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

This position is based on-site in the Greater Seattle Area.

A career at Sono Bello means being part of a dynamic, high-energy work environment where every team member can make a difference. We love what we do, and it shows. As the national leader in providing cutting-edge, personalized body transformations, we believe everyone deserves their best body today and the opportunity to pursue their best life now. With over 130 locations, Sono Bello is the largest and fastest-growing cosmetic surgery practice in the nation.

SUMMARY 

The Data Engineer owns the end-to-end data platform, building high-scale pipelines, optimizing cloud resources, and ensuring that analysts and executives have trusted, timely data. You will drive architecture decisions, mentor junior engineers, and champion Python- and PySpark-based best practices across the organization. 

ESSENTIAL DUTIES AND RESPONSIBILITIES 

  • Design, build, and maintain scalable data pipelines in Databricks (Spark SQL, PySpark, Delta Lake). 
  • Stand up and manage Azure resources (Data Lake Storage, Azure Key Vault, ADF/Synapse, Databricks workspaces). 
  • Partner with business and technical leaders to capture analytic requirements and translate them into robust ETL workflows and scalable data infrastructure 
  • Use Databricks Workflows or similar orchestration tools to schedule jobs, manage dependencies, and implement data quality checks 
  • Optimize data models for analytics, reporting, and machine-learning workloads. 
  • Implement CI/CD workflows (Git, Azure DevOps) and automated testing for code deployments. 
  • Monitor pipeline performance, cost, and data quality; drive continuous improvement. 
  • Document technical designs and mentor analytics team members on SQL, Python, and Spark best practices. 
  • Experience with implementing automated data delivery solutions using databricks and Azure 
  • Help define access controls, sensitive data handling, and governance standards using Unity Catalog and Databricks best practices. 

EDUCATION, EXPERIENCE, AND SKILLS REQUIRED 

  • 4+ years in data engineering or related roles. 
  • Expert-level Python and advanced SQL (PostgreSQL/Spark-SQL). 
  • Production experience with Databricks, Spark (batch & streaming), and Delta Lake. 
  • Proven success configuring and securing Azure data services (Storage, Networking). 
  • Hands-on with REST/Graph APIs and real-time data ingestion pipelines 
  • Strong communication skills and a track record of owning mission-critical data systems. 

PREFERRED SKILLS AND ABILITIES 

  • Bachelor's or Master's in Computer Science, Data Engineering, or related field. 
  • Azure certifications (DP-203, AZ-305) or Databricks Data Engineer Professional. 
  • Experience with BI tools (Tableau / Power BI) and excel 
  • Familiarity with Azure VMs and SSRS 

COMPENSATION:

At Sono Bello, we believe that our team members are the keys to our success. The compensation range for this role is $125,000 - $140,000 depending on experience.

BENEFITS:

  • Medical, Dental, Vision, Life Insurance
  • 401k with match, EAP, PTO, and paid holidays

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