JOB SUMMARY:
An ECRS Junior Data Analyst delivers realistic, practical, common-sense solutions utilizing statistical models and machine learning frameworks/platforms to help and improve the business of our customers by utilizing data from the CATAPULT platform to augment current functionalities.

OBJECTIVES:

To design and implement statistical models/algorithms and solutions to achieve a desired business outcome.

RESPONSIBILITIES:

• Implement algorithms to recognize patterns in retail transaction/sales/ecommerce data and metrics to achieve a desired outcome such as Recommender system, Demand Forecasting etc.
• Research, design, develop and train new machine learning models or adapt and apply existing models and applications.
• Design or develop software systems using design and functional specifications, scientific analysis, good software development practices, and mathematical models.
• Write, update, and maintain computer applications and software packages to handle specific jobs using statistical and ML libraries and tools.
• Develop or direct software system testing and validation procedures.
• Collect and process valid training/test/validation data.
• Update models/weights according to the objectives and/or customer needs.
• Review and modify existing models/algorithms to correct inadequacies, to adapt to new hardware/data, or to upgrade interfaces and improve performance.
• Consult with the ECRS (ECR Software) Design team, help develop specifications and performance requirements

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, Mathematics/Applied Mathematics/Statistics, or related discipline
• Proficiency in scripting languages such as Python and similar
• Proficiency in the fundamentals of statistics and mathematics
• Familiarity with various statistical models
• Penchant for learning and research that result in better outcomes for ECRS customers.

PREFERRED QUALIFICATIONS:

• Proficiency in statistical analysis and modeling
• Proficiency in languages such as Java
• Familiarity in Natural Language Processing frameworks
• Familiarity with SQL
• Familiarity with relational databases.
• Basic understanding of a retail environment & operations
• Master’s degree in Computer Science or related discipline
• Minimum 1+ years of professional or academic experience in relevant areas

GOALS:

• Must become proficient in data engineering (through relevant academic/online courses from reputable entities)
• Must become proficient in ML frameworks/tools/libraries. (through relevant academic/online courses from reputable entities)
• Must become proficient in SQL and database
• Must become proficient in applying relevant development tools