Careers

As a Data Scientist for Engage3, you would be working closely with our Data Science team, retail and CPG customers, and partners to lead the company’s reporting, data management, and analytics efforts. You would be building the next generation of revolutionary data-driven products to optimize retailer, manufacturer, and consumer strategies.

A qualified candidate for this position must have demonstrated the ability to manage modeling projects, identify requirements and build methodology and tools that are statistically grounded. The ideal candidate will have experience collaborating across organizational boundaries.

Responsibilities:

• Developing and deploying algorithms and data-driven products, combining advanced modeling techniques and domain expertise
• Structured and unstructured data mining using state-of-the-art methods
• Processing, cleansing, and verifying the integrity of data
• Maintaining and enhancing internal tools for data analysis
• Managing multiple custom projects on short timelines
• Fielding critical requests from clients and internal teams (e.g. Sales, Operations) expeditiously and with strong attention to detail.
• Work independently and collaboratively as needed, parallel play and be able to take ownership of projects
• Deploy high-quality products and projects with clean code, thorough testing, and documentation
• Ability to develop mathematical models and optimization algorithms

​Qualifications:

• Advanced degree (M.S. or Ph.D.) in Engineering, Math, Finance, Computer Science, Physics or related industry experience
• 2-5 years experience in production/client-facing environments, with a focus on analytic products and projects
• Able to write SQL scripts and dialects for analysis and reporting
• Experience using one or more programming languages including Python
• Experience with Cloud Platforms including AWS
• Strong experience in Excel
• Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
• Manipulate spreadsheets with Python or another scripting language
• Experience with Tableau or other visualization tools
• 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 multi-ta

Preferred Qualifications:

• Experience in advanced machine-learning methodologies including supervised and unsupervised learning
• Experience with clustered data processing including Hadoop, Spark, Map-reduce, Hive
• Experience using programing languages Scala and Bash
• End-to-end experience designing and deploying

Engage3 is looking to hire a technical expert, who demonstrates an desire for learning new technologies which is evident based on their by the ability to expand upon current core knowledge. The Data Analyst (also known as a Customer Support Engineer) is the connection between our customers and Engage3, which is crucial for building effective working relationships. While building these relationships, the Data Analyst will address and work to solve customer issues, manage expectations, and leave all customers feeling valued and pleased with their service.

This is a great opportunity for an individual who has patience as well as an empathetic view of the customer. 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:

• Develop working knowledge of Engage3 products to provide first/second/third level technical support via phone, email, web and remote access on a daily basis
• Communicates concerns with fellow team members to collaboratively create solutions to problems which arise
• Work independently and 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
• Experience interacting with customers and in a client facing role
• Innate crisis management skills and ability to handle critical customer issues/problems
• Working knowledge of Software as a Service products and protocols
• Drive and skills to learn about new products and technologies efficiently
• BS in a technical field (CS/EE preferred) or equivalent
• Minimum 1-2 years of experience designing, deploying, configuring, supporting, troubleshooting, debugging and administering Software as a Service
• Minimum 1-2 years experience with Software as a Service in mobile & web products, devices
• Experience with technologies for small, medium, large and/or enterprise businesses

Preferred Skills:

• Web and mobile product design or management experience
• Experience with SQL databases
• Programming skills (Java, Python, Javascript, CSS,. HTML5, iOS/Android, and/or Linux/Bash scripting)
• Strong Microsoft Excel experience

Job Summary: We are seeking business analysts to help us conduct research on consumer products and retailers’ websites across the US and Canada.

Job Duties:

• Conduct research on consumer products
• Decipher cryptic product descriptions
• Responsible for creating and improving upon internal processes

Job Requirements:

• Excellent written and verbal communication skills;
• Must be detail-oriented and reliable;
• Must be a fast-thinker;
• Committed, honest, and follow instructions.

Job Type: Part-time, On-site
Salary: Local min. wage/hour (growth opportunities available)

Job Hours: Monday-Friday, between the hours of 8:00 a.m. and 5:00 p.m.

Hours a week: 20-30 consistent hours per week