Data Analyst 1418 views

This is a great opportunity for a recently graduated individual with experience in NLP and Deep learning. You will be able to hone in on your skills and advance your career by providing value to customers while working with a team of accomplished data scientists and domain experts in the retail competitive intelligence industry.

A Successful Data Analyst

Communicates concerns with fellow team members to collaboratively create solutions to problems which arise

Work independently and with immediate supervisor to understand customer issues, recreate these issues and utilize tools to debug the issues to prevent them from recurring

Compiles and maintains databases of existing issues and adding new issues as they arise

Works alongside product team to prioritize and resolve these issues

Acts as focal point for large account problem resolution and as a technical expert.

Has commitment and an ability to resolve complex technical problems, multitask, and be dedicated to customer success

Required Skills

Strong verbal and written communication skills

Working knowledge in data processing, NLP, deep learning platforms (e.g. keras)

Drive and skills to learn about new products and technologies efficiently

BS in a technical field (CS/EE preferred) or equivalent

Min 6-12 months of experience with designing and implementing ML solutions

Preferred Skills

Minimum 1-2 years experience with python programming

Large data programming experience

NLP related neural network solutions

Experience with SQL databases

Programming skills (Java, Python, Javascript, and/or Linux/Bash scripting)

Engage3 was founded by the creators of KhiMetrics (acquired by SAP), who are credited with inventing the retail price optimization space. Engage3’s leadership team is composed of former KhiMetrics, SAP, Revionics, dunnhumby, KSS Retail, and IBM/DemandTec executives.

Engage3’s Price Image Management SuiteTM helps retailers understand and manage their Price Image and align it with their sales and profitability objectives using predictive modeling. The suite includes Competitive Intelligence Management (CIM) – an AI-assisted, attribute-based, and data science-driven solution that provides accurate, granular competitive data (30 billion product pricing records collected annually in the U.S. and Canada) and like-item-linking visibility. CIM helps retailers reverse-engineer their competitors’ pricing and assortment strategies across channels, markets, and items. Also included in the suite is Price Image Optimization (PIO) – a next generation pricing solution that defines the impact of strategic pricing alternatives and unlocks pricing recommendations based on a retailer’s objectives for Price Image, sales, and profitability.

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