Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Maintain positive working relationships by communicating in a manner so that you get along with co-workers, clients, and management.
Communicate effectively and proactively to project teams on any concerns, problems or technical discussions that impact project.
Know and understand scope of work, criteria, and project standards.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge and experience in statistical and data mining techniques; GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience creating and using advanced machine learning algorithms and statistics; regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience with distributed data/computing tools; Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using; Periscope, Business Objects, D3, ggplot, etc.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Strong problem-solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Strong understanding of control theory as applied to process control systems.
General understanding of engineering disciplines.
General understanding of networking and communication infrastructure.
Experience planning and executing factory and software acceptance testing.
Four-year technical degree in engineering from school of engineering and technology or technical institute or 5-year relevant work experience.
Minimum of 2-3 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
Proficient in Microsoft Office (MS PowerPoint, MS Excel, MS Word, MS Outlook).
Must be a detail-oriented, results-driven individual with a commitment to quality, accuracy, and the ability to organize and prioritize workloads to meet deadlines.
Must possess strong interpersonal and excellent communication (written and oral) skills.
Strong analytical, problem solving, technical, and functional skills with the ability to multi-task and be willing to learn.
Must be able to work collaboratively and cooperatively, take direction, work well in a team environment, and interact with all levels of management, engineering, systems, operations, and field personnel.
Ability to multitask and demonstrate flexibility in managing multiple projects.
How to Apply:
Apply online at https://www.tiga.us/locations/lafayette-louisiana
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