Data Science Engineer

Location: US-Remote

Compensation: $111,399 - $167,098

Who we are:

As one of the largest for-profit thrift operators in the United States, Canada and Australia for value priced pre-owned clothing, accessories and household goods, our mission is to champion reuse and inspire a future where secondhand is second nature. We supply our stores with gently-used, one-of-a-kind items that have been donated by the community to local nonprofit organizations. We purchase these items directly from our nonprofit partners, redirecting billions of pounds of used items away from landfills and on to our store racks and shelves for reuse, and providing our partners with valuable funding for their community-based programs and services. You’ll often hear us say that we are “Thrift Proud.” It’s the millions of loyal customers who visit our 300+ stores and our more than 22,000 team members that make it possible. Learn more about the Savers® family of thrift stores, our impact, and the #ThriftProud movement at savers.com. 

What you can expect:

• The opportunity to celebrate uniqueness. We are made up of people from many different backgrounds, experiences, and perspectives, all with something special to contribute.
• To work in a purpose-driven company, with a business model that people love for our impact on both the planet and local communities.
• An investment in the career path interests of our people. With our aggressive store expansion plans, we recognize the importance of the continued growth and development of our team members.

What you get:

• Comprehensive onboarding and training from day one.
• In-house expertise! Our training department / Savers University develops and delivers robust training to every team member across our organization — from new hires to senior executives. We develop around 90% of our training internally, and partner with a variety of renowned providers to supplement our offerings.

Benefits offerings including:

• Bundled health plans such as medical, Rx, dental and vision
• Company-paid life insurance for extra protection and peace of mind
• Programs to stop smoking, diabetes management coaching, and on demand care options.
• A 401k plan with generous company matching contributions to assist you in saving for a secure financial future.
• Paid time off from work for leisure or other hobbies.
• A range of mental health services to assist you in managing daily life.

Summary:

The Microsoft Fabric Data Scientist is responsible for designing, developing, and deploying advanced analytics and machine learning solutions using Microsoft Fabric's unified analytics platform. This role combines expertise in data science, data engineering, and cloud analytics to transform enterprise data into actionable insights that drive business decisions.

Essential Job Functions:

• Data Science & Machine Learning
  • Develop, train, evaluate, and deploy machine learning models using Microsoft Fabric Data Science experiences.
  • Build predictive, classification, forecasting, recommendation, and anomaly detection models.
  • Perform exploratory data analysis (EDA) and statistical analysis to identify trends and business opportunities.
  • Implement MLOps practices for model versioning, monitoring, and lifecycle management.
• Work closely with platform engineers, business stakeholders and solution managers from inception through delivery
• Utilize Fabric components, i.e., OneLake, Power BI, Real-time Analytics, etc.
• Data Engineering & Analytics
  • Design and optimize data pipelines using Data Factory and Spark.
  • Work with Lakehouse and Warehouse architecture.
  • Perform data cleansing, transformation, and feature engineering.
  • Ensure data quality, governance, security, and compliance.
  • Transfers knowledge to peers and team members as appropriate
  • Communicate analytical findings to technical and business stakeholders.
• Helps in developing and documenting Software Development standards and practices.
• Understands the Software Development Lifecycle; helps ensure that application enhancements are developed using Saver’s development processes that ensure a high degree of software quality

Required Knowledge, Skills, and Abilities:
 

• Strong statistical analysis and hypothesis testing skills.
• Experience developing and deploying predictive modeling and machine learning.
• Feature engineering and model optimization.
• Experience with time series forecasting and advanced analytics.
• Successful past delivery of products hosted in public cloud, e.g., AWS, Azure, etc
• Proficiency in Python, PySpark,  SQL, Machine Learning frameworks (Scikit-learn, TensorFlow, PyTorch, etc.)
• Strong organizational skills.
• Excellent written and oral communication skills.
• Business / Retail Operations background preferred.
• Proven ability to effectively collaborate cross-functionally
• Able to quickly establish rapport with both technical and non-technical stakeholders

Minimum Required Education, Training and Experience:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field, or equivalent experience.
• 5+ years of hands-on experience in data science

Physical Requirements:

• Ability to lift and carry up to 25 lbs.
• Ability to express or exchange ideas by means of the spoken word.
• Ability to receive detailed information through verbal communication, and to make the discriminations in sound.
• Ability to receive detailed information visually through written communication (both physical and electronic).

FLSA Status

• Exempt

Tools and Equipment Used:

• Laptop or desktop computer, phone, copy machine, etc.

We’re an equal opportunity employer:

All team members and job applicants will be treated fairly, without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender or gender identity or any other factor protected by law.

Accessibility support statement:

We’re committed to offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability, please contact us at: (800) 259-0004.

Candidate AI usage policy:

Savers Value Village celebrates the uniqueness of our team members. As we get to know you through the interview process, we want to learn about what makes you one of a kind, including your authentic voice, thoughts, and honest answers to interview questions. For this reason, we ask that you do not use AI to develop responses or aid you in any way during interviews or technical assessments.

Savers is an E-Verify employer