Job Description

Data is the core of everything that Engage3 provides. As an Applied Data Scientist for Engage3, you will be on the front lines driving direct value to our customers and the organization. You will be involved in all aspects of the data lifecycle, from data extraction and transformation to delivery to analysis and modeling.

You will have the opportunity to drive business impact by working with stakeholders and clients, where you will have a direct hand in shaping or creating Engage3’s retail data solutions. You will also be expected to build new processes and procedures from scratch that will solve new business or customer use-cases as they evolve.

You should be able to demonstrate the ability to manage the entire lifecycle of modeling projects, from identifying requirements to working with the data (extracting, managing, modeling, visualizing) to using this data and justifying your results. You should also have experience collaborating across organizational boundaries -- you will be just as comfortable talking with a business stakeholder about what this analysis means as you are collaborating with Dev and Data team members and diving into the database. A successful Applied Data Scientist will:

• Develop and deploy algorithms, data-driven products, combining advanced modeling techniques and domain expertise
• Manage (extraction, transformation, validation) structured and unstructured data using state-of-the-art methods across multiple sources and rapidly-evolving architectures
• Build, maintain, deliver, and automate client-facing reports with high visibility
• Work both independently with minimal guidance as well as collaboratively with remote teams; is able to take ownership of early-phase projects. Need to be a self-starter
• Interact directly with business stakeholders to gather requirements, feedback
• Balance multiple projects on short timelines with evolving priorities
• Field critical requests from clients and business stakeholders expeditiously and with strong attention to detail
• Collaborate with team members to write clean code with thorough testing and documentation; follow best practices and consider edge cases for rolling out Production code

​Qualifications:

• M.S. in Engineering, Math, Finance, Computer Science, Physics, or other STEM field
• OR Bachelors in Engineering, Math, Finance, Computer Science, Physics, and related industry experience for 2-5 years in production/client-facing environments, with a focus on analytic products and projects
• Minimum 2 years experience writing SQL scripts and dialects for data exploration, analysis, and reporting
• Minimum 2 years experience using one or more programming languages (Python-preferred)
• Minimum 1 year experience in advanced machine-learning methodologies, supervised and unsupervised learning
• Minimum 1 year experience with Tableau or other visualization tools
• Minimum 1 year experience in Microsoft Office Suite (Excel, Word, Powerpoint)
• Experience with big data: acquisition, processing, filtering, and presenting large quantities (100K - 100M rows) of data. Preferred ability to use parallelization with tools including Snowflake, Python libraries, Apache Spark, Hadoop
• Experience gathering requirements from non-technical stakeholders and presenting technical material in a non-technical context
• Experience manipulating spreadsheets with Python or another scripting language
• Experience with statistical tools (e.g. R) and analysis, regression modeling and forecasting, time series analysis
• Experience deploying and integrating into production systems and data-driven products
• Strong communication skills and ability to work in a fast-paced environment

Company Description

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. If you express interest in this role, please check your filtered emails in case our questionnaires get sent there. The email will come from Engage3-Breezy.