Data Science Engineer

Softthink Solutions is seeking a highly motivated and result-oriented Data Science Engineer to join our team in Herndon, VA to support our client project.

• Develop and maintain a demand forecasting model for a large volume of unique textbook SKUs, which serves as the basis for inventory management, pricing, and sales.
• Use a decision tree to develop a Quality scoring model, optimize for better results, and segment and rank inventory more effectively.
• Build pricing algorithms to optimize B2C sales and rental rebate, lead to an average margin increase of 10%.
• Develop Python scripts to scrape prices from various aggregator websites, enhance data collection and analysis capabilities.
• Build data pipelines to ingest, transform and clean data from diverse sources like Excel, text, JSON, and multiple databases from across the organization.
• Proficient in coding SQL queries, stored procedures, and building reports in Power BI and Tableau, as well as building and optimizing data warehouses, schemas, pipes, and tables in Snowflake.
• Develop and implement testing plans to ensure the accuracy and validity of models and algorithms, including unit testing, integration testing, and regression testing.
• Conduct A/B testing to measure the effectiveness of different pricing strategies and other business decisions and using statistical analysis to evaluate the results.
• Identify and address any issues or errors in the data or models, and work with other team members to develop solutions and improve performance.
• Create and maintain documentation for testing procedures and results, as well as for models, algorithms, and data pipelines.
• Collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to ensure that testing processes align with business goals and objectives.
• Stay up-to-date with the latest industry trends and best practices in testing and incorporate new methodologies and technologies as appropriate.
• Identify and implement security measures to protect data and systems, such as encryption, access controls, and monitoring.
• Conduct vulnerability assessments and penetration testing to identify potential security risks and develop strategies to mitigate them.
• Collaborate with the IT and security teams to ensure that all data and models are stored and transmitted securely, in compliance with industry standards and regulations.
• Stay up-to-date with the latest security threats and trends and implement best practices to protect data and systems from potential attacks.
• Create and maintain documentation for security protocols and procedures, as well as for models, algorithms, and data pipelines.

At our company and at our client’s company, a Data Science Engineer requires a Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.