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Arconic · 2 days ago

Staff Scientist-Optimization Data Analytics

New Kensington, PA

Full-time

Onsite

Senior Level, Lead/Staff

$90K/yr - $120K/yr

3+ years exp

Arconic is currently seeking a Staff Scientist in Optimization & Data Analytics to join their Technology Team in New Kensington, PA. This role involves developing and supporting optimization and analytics applications across various processes, providing technical expertise, and leading multi-disciplinary projects focused on optimizing aluminum forming and fabrication processes.

AerospaceAutomotiveBuilding MaterialConstructionMechanical Engineering

No H1B

Hiring Manager

Jessalyn McKeown

Responsibilities

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

Qualification

Optimization expertiseOperations ResearchProgramming RProgramming PythonProgramming MatlabComputational optimization toolsExploratory Data AnalysisStatistical methodsMathematical modelingRelational databasesHeuristic OptimizationMachine learning techniquesReliability methodsAttention to detailCommunication skills

Required

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

Preferred

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)