Job Responsibilities

• Conducts advanced data analysis and algorithm design.

• Involves in designing experiments, testing hypotheses, and building models.

• Ensures Statistical and predictive modeling techniques are applied to create, maintain, and enhance multiple real-time decision systems.

• Conduct ETL design, development, and maintenance including data extraction, manipulation, analysis, source-target mapping, change data capture..etc.

• Involves in modeling and framing business scenarios that have a meaningful impact on important business processes and/or decisions.

• Collaborates with all the teams necessary to support data collection, integration, and retention requirements based on input from the business.

• Involves in performing data sampling and aggregation, fuzzy encoding, and employing a wide array of machine learning models, such as various regression and clustering techniques, ensemble techniques like random forests and XGBoost, and time-series analysis.

• Develops different experimental design methods to validate findings or test hypotheses, and ensures the appropriate algorithm is selected to discover patterns.

• Performs real-world testing of machine learning (ML) models and cross-validation, and continuously monitors the execution and health of models in the production environment.

Requirements and skills

• Bachelor's or master's degree in mathematics, Statistics or Computer Science or related field required;

• 3+ years' experience with running ML/statistical models and advanced analytics with a proven record for delivering production predictive models to drive strategic decision-making.

• 5+years' experience with advanced SQL concepts and writing SQL statements (Oracle, MySQL Server or similar).

• Experience in ML (Machine Learning)/statistical models and advanced analytics.

• Write code in different scripting languages such as SQL, Python, etc., to transform raw data and make it usable by cleaning it.

• Utilize different statistical and visualization tools including Excel, R, Python, MATLAB, and SAS programming language. Have a strong practical knowledge of machine learning algorithms.

• Experience performing statistical analysis and applying visualization techniques

• Possess an inquisitive nature and a desire to comprehend the intricacies of a business process thoroughly.

• Experience in building data pipeline monitoring and alerting tools to provide real-time visibility about scalability and performance metrics.

• Experience in mentoring other team members in development of best practices, and methodologies.

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Smith is an equal opportunity employer.

VEVRAA Federal Contractor

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

We are an Equal Opportunity/Affirmative Action Employer.