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Mid-level Data Scientist at N.F. Smith & Associates, L.P.

Mid-level Data Scientist

N.F. Smith & Associates, L.P. Houston, TX (Onsite) Full-Time
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.


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.

Recommended Skills

  • Algorithm Design
  • Algorithms
  • Business Processes
  • Change Data Capture
  • Coaching And Mentoring
  • Curiosity
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