Senior Data Scientist

5 days ago

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Description

• Responsible for providing data, performing data analysis and statistical modeling, and utilizing machine learning. • Deliver statistical models to drive organizational insights and key business actions. • Partner closely with the business including marketing and product teams to understand and optimize the customer journey. • Provide insight into market segmentations, customer journeys, and the customer experience with a high level of accuracy using analysis, predictive modeling, and machine learning. • Assemble and clean data for modeling purposes. • Write and interpret complex SQL queries. • Complete model selection, build, and testing. • Engage with the broader data science organization to support, refine, and test large-scale data science projects. • Deploy visualization techniques to deliver insights to end-users. • Summarize and report key analytical findings and recommendations in both oral and written forms to various technical and non-technical teams. • Design, code, implement, and maintain analytical and machine learning applications utilizing data to provide valuable insights. • Provide necessary documentation and upgrade to newer technologies based on project needs. • Extensively work on projects using Python, R, SQL, Machine Learning, data mining, data transformation and processing, Tableau, SVN, Git, Oracle, AWS, Snowflake, and MS SQL Server. • Analyze large amounts of information to find patterns and solutions. • Carry out preprocessing of structured and unstructured data. • Process, cleanse, and validate the integrity of data to be used for analysis. • Develop prediction systems and machine learning algorithms. • Present solutions and strategies to tackle business challenges. • Utilize statistical modeling techniques including regression, classification, hypothesis testing, and unsupervised learning. • Provide necessary documentation and upgrade to newer technologies based on project needs.

Requirements

• Requires a Master’s degree, or foreign equivalent degree, in Statistics, Data Analytics, Information Systems, or Engineering Management and one (1) year of experience in the job offered or one (1) year of experience in a related occupation providing necessary documentation and upgrading to newer technologies based on project needs; and working on projects using Python, Tableau, R, SVN, Git, Oracle, and MS SQL Server.