Data Scientist - AI & Data Products for Growth

Sterling; North Sioux City (SD); On-site; USD 110,000 - 160,000; Full time

Job summary

Sterling is seeking a highly skilled Data Scientist to design, build, and deploy advanced data products and models that improve operational efficiency and financial reporting. You will work with operations, finance, and sales to translate business needs into data-driven solutions and support our growing generative AI initiatives.

You will develop data pipelines, apply modern ML techniques, and communicate insights to stakeholders.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Ph.D. is excellent.
• Strong proficiency in Python is extremely important, including experience with libraries such as pandas, scikit-learn, and PyTorch.
• Solid understanding and experience with data modeling principles.
• Proficiency in SQL for data extraction and manipulation.
• Experience with Databricks.
• Ability to work alongside data engineers including building and maintaining data pipelines.
• Proven ability to work effectively alongside data analysts and data engineers, fostering a collaborative environment.
• Must enjoy working with both technical and non-technical coworkers to understand their problems and collaboratively create innovative data solutions.
• Demonstrates boundless curiosity and creativity in approaching data challenges.

Responsibilities

• Design, develop, and deploy complex data products and models to improve operational efficiency and financial reporting accuracy.
• Collaborate with cross-functional teams, including operations, finance, and sales, to translate business needs into data science solutions.
• Perform in-depth data analysis to identify trends and insights that drive business improvements.
• Develop and maintain robust data pipelines and integrate data sources to ensure quality and accessibility.
• Support sales teams by providing analytical tools, predictive models, and custom reports.
• Participate in research and implementation of generative AI models and applications.
• Communicate complex analytical findings clearly to technical and non-technical stakeholders.
• Stay current with advancements in data science, machine learning, and AI.

Skills

Python programming

Data analysis

Cross-functional collaboration

Curiosity and creativity

Education

Bachelor's or Master's in CS/Statistics/Mathematics

Tools

Pandas

Scikit-learn

PyTorch

SQL

Databricks

Streamlit

Job description

Sterling is seeking a highly skilled Data Scientist to design, build, and deploy advanced data products and models that improve operational efficiency and financial reporting. You will work with operations, finance, and sales to translate business needs into data-driven solutions and support our growing generative AI initiatives.

You will develop data pipelines, apply modern ML techniques, and communicate insights to stakeholders.