Data Scientist – Revenue Management
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About this role
At Arconic, we take pride in our work and our innovative products and technologies that advance sustainable solutions for a better world. We strive to create a safe, inclusive, and collaborative workplace with competitive benefits, development opportunities and a culture that values and rewards employees on all levels of the organization.
Job Summary:
This role supports the Revenue Management team by building, maintaining, and improving analytical models used for forecasting demand, understanding pricing performance, and identifying revenue opportunities. The emphasis is on learning the business, applying analytics pragmatically, and growing toward more advanced pricing and optimization work.
This is an applied role, not academic research.
Responsibilities
In this role, you will:
Support demand forecasting and reporting
Analyze historical pricing and customer behavior
Assist in building and testing pricing or elasticity models
Clean, validate, and structure messy transactional data
Translate analysis into clear insights for RM managers
Gradually take ownership of defined analytical components
Also note:
The successful incumbent in this position should know basic statistics:
Mean, variance, regression concepts
Correlation vs causation awareness
Introductory forecasting concepts: trend, seasonality, moving averages
Comfort working with uncertainty and imperfect data
This hire must be able to work with data independently, even if models are simple at first.
Demonstrated interest in pricing, forecasting and business decision-making.
Ability to understand:
Why pricing varies by customer / product / time
Trade-offs between volume, price, and margin
Can explain analysis in plain English
Comfortable asking good questions
Willing to challenge assumptions respectfully
Strong attention to detail and data quality
Qualifications
Bachelor’s Degree in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, Computer Science or Data Science.
0-2 years of professional experience
Internships, research projects, or strong academic work
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at time of hire. Visa sponsorship is not available for this position.
Preferred Qualifications:
Master’s degree (especially for OR, analytics, or applied economics)
Relevant coursework in Forecasting, Econometrics, Optimization, Supply chain or pricing analytics
Scikit-learn exposure
Data visualization (matplotlib, seaborn, Power BI, Tableau)
Git or version control familiarity