Have you ever thought about those “moments that matter” in your life? Do you want to be a part of making those moments reality for others?
Then join the Stuller, Inc. community as our Data Science Intern!
You’ll have the opportunity to demonstrate your talent and build the experience and successful track record you need to advance your career with our dynamic company.
From materials and people to data and technology, Stuller’s Finance and Administration team analyzes and safeguards our company’s assets.
If your strength is in numbers and spreadsheets or legal documents and law enforcement, join our team to help ensure the safety and precision analytics of our precious resources.
Enterprise Analytics develops and executes data analysis across various functions, including customer behavior, product performance, and financial results, to provide actionable insights and understand key drivers of performance.
Unlock the potential of data and be part of creating unforgettable moments in the world of jewelry manufacturing! Join the Stuller community as our Data Science Intern, where you'll be working alongside a growing team of passionate data engineers and business analysts. Use this opportunity to demonstrate your talent and build the experience and successful track record you need to advance your career with our dynamic company.
Key Responsibilities:
Collaborate with Stuller's analytics and engineering teams, as well as business stakeholders, to address challenges in the jewelry manufacturing sector.
Utilize expertise in analytics tools and scientific rigor to derive actionable insights.
Develop queries for project data and efficiently cleanse and wrangle datasets.
Implement machine learning solutions and predictive models in a production environment to solve key business challenges.
Engage with business leaders, subject matter experts, and decision-makers to establish success criteria and optimize new products, features, policies, and models.
Communicate key results effectively to senior management through verbal, visual, and written presentations.
Qualifications:
Basic Qualifications:
Currently pursuing a degree in a related field, junior or senior level preferred.
Hands-on experience in executing data analysis using Python, SQL, or R.
Familiarity with machine learning techniques, such as regression, classification, clustering, and ensemble methods.
Ability to understand complex business and data systems.
Strong communication skills to convey complex results to both technical and non-technical audiences.
Versatility and a willingness to learn new technologies on the job.
Preferred Qualifications:
Proficiency in one or more object-oriented programming languages (e.g., Python, C, C++, Java, Ruby, Scala, Go).
Familiarity with Linux/OS X command line, version control software (e.g., git), and general software development.
Experience programming or scripting for ETL development.
Knowledge of relational databases like Postgres or Snowflake.
Previous industry experience or internships in product-related analytics.
