Staff Scientist, Optimization & Data Analytics

Arconic-posted about 10 hours ago

Full-time • Mid Level

Onsite • New Kensington, PA

5,001-10,000 employees

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Arconic is currently in search of Staff Scientist, Optimization & Data Analytics to join our Arconic Technology Team based in New Kensington, PA 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: The Staff Scientist, Optimization and Data Analytics is responsible for developing and supporting optimization, scheduling, and analytics applications across Arconic’s processes including casting, rolling, extrusion, etc. This role is part of our Research & Development team and will provide technical expertise to support operations and lead multi-disciplinary projects focused on optimization of aluminum forming/fabrication processes.

Provide leadership and expertise in the application and utilization of advanced optimization and statistical tools and methods.
Identify and translate industrial use cases into formal optimization problem statements with constraints and objectives.
Convert optimization problem statements into detailed mathematical formulations and models.
Program the mathematical models within algorithms using commercial and/or open-source computational tools and frameworks.
Collaborate with Data Engineering resources to define appropriate data preprocessing, management, and storage needs supporting the optimization algorithms.
Collaborate with IT and subject matter experts (SMEs) to provide wholistic solutions that solve manufacturing and/or business-oriented optimization and analytics challenges.
Support R&D project planning activities by estimating costs and durations of optimization related activities.
Regularly communicate details, benefits, and challenges of implementing optimization algorithms to stakeholders with varied backgrounds.
Drive projects to completion and effectively communicate results through reports, patents, and/or presentations.

Master of Science (M.S.) Degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Operations Research, Computer Science, Statistics, Data Analytics, Data Science, or a related quantitative field with a focus in Optimization.
Proficiency in general optimization with focus on Operations Research (Linear Programming, Combinatorial Optimization, Mixed-Integer Programming, Dynamic Programming).
Intermediate programming skills with scripted programming languages such as (but not limited to) R, Python, and/or Matlab.
Intermediate programming skills with computational optimization environments such as (but not limited to) CPLEX, Gurobi, and/or GLPK.
Experience performing Exploratory Data Analysis (EDA), data manipulation/transformation, and applying data preprocessing techniques.
Competency in classical statistical methods including hypothesis testing, generalized linear models, multivariate methods, and/or time series analysis.
Employees must be legally authorized to work in the United States.
Verification of employment eligibility will be required at the time of hire.
Visa sponsorship is not available for this position.
This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. §730, et seq.) and/or the International Traffic in Arms Regulations (ITAR). Authorizations from the relevant government agency may be required to meet export control compliance requirements.

Ph.D. Degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Operations Research, Computer Science, Statistics, Data Analytics, Data Science, or a related quantitative field with a focus in Optimization.
Demonstrated experience in creating mathematical models in optimization programming language (OPL) using solvers such as GLPK and/or CPLEX.
3 or more years of experience in developing and applying optimization and/or scheduling solutions.
3 or more years of experience in industrial operations, logistics and supply chain, and/or manufacturing environments.
Competency in relational databases such as (but not limited to) MS-SQL, PostgreSQL, MySQL, and/or SQLite.
Proficiency in Heuristic Optimization methods such as (but not limited to) Genetic Algorithms, Simulated Annealing, Particle Swarm, and Ensemble Methods.
Proficiency in Quality methods including Statistical Quality (Process) Control and measurement capability and analysis.
Proficiency in using machine learning techniques to model complex systems.
Competency in Reliability methods including parametric modeling, survival analysis, tolerance intervals, and event driven analytics.
Ability to develop innovative and practical solutions to complex problems without direct technical supervision.
Attention to detail within daily working habits.
Strong written and verbal communication skills (technical writing and presentation).

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