Overview:
A BIT ABOUT US
The Marketing Store is a consumer engagement agency that believes in the power of experience to build brands. Experience is any valuable interaction between a brand and consumer, and it’s the currency of 21st century marketing; consumers are placing greater value on it, technology provides brands with greater opportunity to deliver, and it’s the key to unlocking huge growth.
Our core skill is therefore transforming brands, products and services into experiences. To leave lasting impressions and influence future purchasing decisions.
We do this through our expertise in the sharing of experience and the science of experience. Yet none of this can be achieved without our investment in people and culture. We’re committed to breaking down silos to create more efficient and better-connected working processes. That’s why we are a people-first agency, built to serve consumer-first brands.
WHAT ARE OUR PEOPLE LIKE?
Our agency is home to creative problem solvers. Those who overcome any obstacle to successfully put consumer-first ideas, products and technologies into market.
People who wear their talent lightly. Willing to be part of a close community that pushes them to be better.
Because our goal is to bring people and brands closer together. Closer insights, closer connections and closer collaboration breed better, more effective work. It’s this dedication to getting closer that drives us to go further.
WHO WE WORK WITH
We apply insightful, strategic, brand-building processes to the creation industry-leading, award-winning promotions, digital experiences, retail activations, CRM and loyalty programs, premiums and brand events.
Our clients include McDonald’s, Nissan, Infiniti, T-Mobile and more!
Responsibilities:
WHY WE THINK YOU WILL LOVE THIS ROLE
This role will partner with Data & Decision Scientists to design, develop, and execute advanced software tool for the Data Science team and the agency. You will be responsible to efficiently implement and integrate data pipelines to power our analytic tool sets and deliverables. The position will span multiple brands and teams locally and globally to influence customer behavior across a multitude of marketing channels.
WHAT YOU WILL BRING TO THE AGENCY
Keen on developing and building relationships, you are comfortable working with agency offices, partners, and various internal team members alike, and have excellent written and verbal communications skills with an ability to present complex solutions clearly.
As a Data Engineer, you are a creative problem-solver by trade and have outstanding organizational skills, able to manage multiple responsibilities and deliverables simultaneously.
Responsible for understanding industry trends and translate business requirements to analytical methods using data and software engineering best practices to drive positive shifts in customer behavior for our clients.
RESPONSIBILITIES
This role will have a demonstrated track record in data modeling, ETL pipelines, and building high-performance and object-oriented, reusable code. It is critical that the candidate has experience designing modular data engineering capabilities to create advanced pipelines for clients.
Digging deeper on the details:
-
Works with members of the Data & Decision Science teams to design and lead the creation of an object-oriented, portable, scalable, robust, efficient, and testable library of data engineering capabilities. Key responsibilities include optimizing the following:
-
Software architecture
- Software scalability and efficiency
-
Selection of software stack
-
Data model architecture
-
Automation data pipelines
-
Automation of testing
-
Creation/integration of data abstraction layer
-
Works with members of the Data & Decision Science team to transform requirements into automated solutions that deliver repeatable, testable, and scalable results
-
Collaborates with Technology & Product teams to ensure seamless integration into broader initiatives
-
Communicates unique insights uncovered through working with customer data
-
Tracks and reports on initiatives, successes, and lessons learned, and packages outcomes for client-facing presentations
Desired Skills & Experience:
SKILLS AND EXPERIENCE WE WOULD LIKE YOU TO HAVE
-
1-3 years’ experience working with structured and un-structured data using tools such as SQL, Pandas, MapReduce, Spark, etc.
-
1-3 years’ experience in delivering analytic results using tools such as Python, Spark, R, etc.
-
Experience cleansing, manipulating, and transforming data
-
Well versed in creating and conducting dynamic presentations
-
Highly professional and presentable with a strong business acumen
-
Highly collaborative with ability to build partnerships across different teams and people
-
Innate curiosity and proven ability to connect insights and gain inspiration from disparate sources
-
Highly organized and comfortable working in flexible, constantly evolving environments with tight turnaround times and shifting priorities
And We’d Love If You Have:
-
Familiarity with advanced analytics techniques (e.g., decision trees, regressions, neural networks, sentiment analysis, survival and time-series forecasting, collaborative filtering, etc.)
-
1-3 years' experience designing and implementing high-performance software using tools such as C++, FORTRAN, MPI, OpenMP, CUDA, OpenCL, Python, etc
- Post-secondary education in a relevant field including Mathematics, Statistics, Computer Science Physics, Engineering, Economics, Business, or equivalent experience
-
Experience in any of the following: business strategy and presentation, financial analysis, statistical analysis, and/or consumer market research would be an asset
-
Examples to show of code/work initiatives in their career tenure
Benefits:
The Marketing Store provides comprehensive benefits offerings to all full-time employees starting on day one. Our benefits include options for medical and dental insurance, 401(k) plan with Company matching provision, profit sharing, flexible spending accounts, tuition reimbursement, life insurance, health and wellness benefits (including discounts on products & services), employee assistance program, and disability insurance.
Thank you for your interest in The Marketing Store.
Please note that we will only contact candidates who are selected for an interview.
The Marketing Store is an equal opportunity employer.
We do not accept unsolicited calls, resumes or candidate referrals from recruiters and agencies.