Job Details

Richardson, TX, US

Job Description

Organizes, analyzes and extracts meaningful information from large amounts of data to build a learning machine which helps in streamlining business processes. Assists on machine learning projects that use and promote data-exploration techniques to discover new or previously unasked questions.

Interprets business data and translates business knowledge into relevant machine learning solutions.

Develops expertise in various businesses and helps translate that into increasingly high value-added advisory solutions to stakeholders.

Builds custom data-fueled models and algorithms, uses machine learning tools and statistical techniques to improve decision-making capabilities, produce solutions to problems, and improve ROI.

Works on a broad range of Data Science problems across varied business groups.

Collaborates with others to develop, refine and scale data management and analytics procedures, systems, workflows, best practices, and other issues to contribute to the company's machine learning practice.

Excellent problem-solving skills, ability to apply quantitative and qualitative methods. Good knowledge of statistical computer languages (R, Python, SQL, PySpark, etc.) to manipulate data and interpret insights from large data sets. Understanding of machine learning techniques (clustering, decision trees, Random Forest, Logistic regression, Linear regression, Gradient boosted trees, naïve Bayes classifier). Understanding of big data architecture and how distributed computing works. Understanding of basic database concepts, ability to handle large complex data sets. Ability to communicate results and gain consensus with a non-technical audience. Experience with SparkMlib, combined with a strong programming background. Basic knowledge about analyzing unstructured information. Strong knowledge about Visual analytics, preferable experience with Qlik, Tableau, or PowerBI.

Qualifications

Requires a bachelor's degree in a related field (Business, Computer Science, Information Science, Analytics) or an equivalent combination of education and experience. Requires at least 1 year of related experience.

Apply Options: Please forward resume/CV along with compensation requirements in complete confidence to Amanda Sonus at ...@pailingroup.com