Tek Experts provides the services of a uniquely passionate and expert workforce that takes intense pride in helping companies manage their business operations. We care about the work we do, the companies we partner with and the customers they serve.
By delivering unrivaled levels of business and IT support, we make sure nothing gets in the way of our clie...
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We're seeking a diligent data scientist to design, prototype, and build next-generation analytics engines and services. You’ll communicate complex data-related requirements and be involved in building new, bespoke advanced analytics tools.
This will be a challenging but rewarding role that requires effective communication and collaboration as well as a keen attention to detail and the ability to learn and adapt to emerging technologies.
Responsibilities
Understand business problems and design end-to-end analytics use cases.
Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
Collaborate with model developers to implement and deploy scalable solutions.
Work with stakeholders to identify opportunities for leveraging DA and BM data to drive business solutions.
Mine and analyze data 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.
Translate complex functional and technical requirements into detailed architecture, design, and high-performing software
Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within DA.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications
Master's or Ph.D. Degree in Computer Science or another related field.
Proven experience working with large datasets and relational databases (SQL).
Deep knowledge of data modeling and understanding of different data structures.
Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
Experience with C, C++, Java, R, Python, and Matlab is required.
Knowledge of computing tools including Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, and others.
Demonstrated experience with Agile or other rapid development methods.
Curiosity, strong communication, problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions.
Professional fluency in English is vital, both written and spoken.
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