Operational Research Consultant
Operational Research Consultant
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1 Vacancy
Job Description
Operational Research Consultant
HC286610
Location: Fort Worth TX Hybrid role
Note: Need profiles who has experience in Optimization / operational efficiency with CPLEX GUROBI JAVA .
Responsibilities
Understanding the overall Business Strategies vision plans and specific requirement to align with Data Science efforts
Agree with the customer on the Acceptance Criteria and communicate to the team
Making sure the team understands the Business Processes and data
Manage EDA (Exploratory Data Analysis) Data Sourcing/Cleansing Data preprocessing data munging and create training data sets
Ensuring appropriate and correct modelling techniques are used
Guide the team in deployment of the statistical model using the technology of customers preference
Making sure the Data Pipeline Machine Learning Pipeline and Monitoring activities are set for Continuous Integration Continuous Development and Continuous Testing
Act as the gotoperson for all the issues in Machine Learning Life Cycle
Partners with IT and business teams to effectively operationalize models
Ensure continuous monitoring through the system and advise on finetune/rebuild the models
The Role offers
Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development
To reimagine redesign and apply technology to add value to the business and operations
Multiple opportunity to showcase candidates strong analytical skills and problemsolving ability
Ways to grow as an individual and expand the domain knowledge to be able to add value
Essential Skills
Provide expert advice on identifying patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
Machine learning & Deep Learning: Hands on experience
Experience with Natural Language Processing techniques
Handson experience with SQL
Hands on in statistical software packages (e.g. R Python SAS or SPSS)
At least one cloud platform experience ( E.g. Azure AWS or GCP )
Exposure to Natural Language Generation
Data storytelling: Communicate actionable insights using data often for a nontechnical audience.
Business intuition: Connect with stakeholders to gain a full understanding of the problem at hand
Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
Essential Qualification
BSc/BA in Computer Science Engineering or relevant field; graduate degree in Statistics or another quantitative field is preferred
Preferred PHD in Data science/Statistics
Employment Type
Full Time
