Brief Description of position:
ABOUT MiQ
MiQ is the leading marketing intelligence company with technology and people that help businesses win. They are experts at ingesting large amounts of data, modelling data to convert into insights and then actioning these insights through a variety of products and services. Our People have an endearing and unique quality that sets them apart from the rest and that is why our product inspires. Our People make the difference, and our values make the people.
In short, MiQ makes data valuable, insightful, and intelligent, which helps clients engage customers, grow sales and generate revenue. MiQ offers its clients products and services across Media (which is their programmatic managed media offering), Analytics (custom engineering and data science solutions for business challenges in digital marketing space) and Technology (their technology and analytics capabilities geared for their customers use). They enjoy a 97% client retention rate globally across brands such as Walmart, Barclaycard and Ford.
MiQ was built 10 years ago by Gurman Hundal and Lee Puri, with its original base in London, UK. Remaining a self-funded business, the company has now grown to over 700 employees, with 15 global offices covering 4 continents. Our business vision is to empower the marketing divisions with the relevant insights so that they can shape the overall business strategy. It is for this reason MiQ has very exciting and realistic growth expectations over the coming years. It is a great opportunity to work across a global business while becoming a key contributor within a growing, winning organization.
QUICK FACTS
- Represent over 450 Client’s Globally
- 97% Retention Rate of Client’s since Launch
- 700 Global Employee’s, with a 100% Staff Retention Rate in the first 3 years of the business, currently 93%
- Offices in London, Manchester, Hamburg, 10 cities in the US, Toronto, Australia and Bangalore ● Award Winning Infrastructure – Recently voted for the ‘Best Use of Data’ as well as ‘Best Trading Team’ in UK and ‘Most Innovative Brand in Mobile’ in North America
SECTION 1 - WHAT WE VALUE AT MiQ
- PASSION - We love and live what we do
- DETERMINATION - We always find a way to “figure it out”
- UNITY - We back each other and challenge one another
- AGILITY - We anticipate the unexpected, embrace and adapt to change
- COURAGE - We dare to think unconventionally You can find out more about
SECTION 2
- Job title - Data Scientist
- Team - Business Analytics
- Reports to - Manager
- Role Type - Individual Contributor
- Key relationships -
➢ Internal: leads of various teams (Solutions, analysts, engineering, product)
➢ External: customers
SECTION 3 – ROLE PURPOSE
The role would be supporting the growth and expansion of the US market and building new data science
capabilities having business impact
As a Data Scientist, you will hold a highly indispensable analytical role that requires interaction and partnership with stakeholders across markets – Solution Engineers, Sales Engineers, Sales or Product Managers. You will be responsible for solving problems using media, CRM, Adserver and other client data (such as Attribution data points, PoS data etc.) as a part of the Business Analytics team. You will packaging and productising these
solutions into repeatable capabilities driving business growth. You will also be responsible for driving
innovation within the team
SECTION 4
Key Responsibilities
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Success Indicators/Outcomes
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Skills
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- Experienced coder in Python/R
- Strong understanding of ML algos and applications
- Experienced in SQL and good hands on Excel
- Experience working in cloud environments preferably AWS. Ability to write and productionize data pipelines and ML models in a cloud based environment
- Experience with working at scale using (Pyspark/Rspark)
- Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics. ➔ Good measurement mindframe for measuring impact of ML models
- 4+ years of experience in applying machine learning, statistical pattern recognition, and data mining algorithms to prediction problems
- Maintaining code versions and experience working in an agile mode
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Delivery
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- Accountable for end to end project delivery. Able to independently own and pitch/execute new analytics capabilities. Have a continuous communication with Solutions Engineering, Sales Engineering on accounts, deliverable timelines and progress of tasks.
- Seeking opportunities for understanding client’s challenges and actively pitching custom or existing data science capabilities having business impact
- Good verbal and written communication & data presentation skills, including the ability to effectively communicate with both business and technical teams
- Ability to provide recommendations and actionable outcomes from the outputs generated, and create a narrative to be shared with the market. Should be able to visualize the outputs easily understood by stakeholders and stitch a story linking to other media aspects being presented
- Drive growth of generalised capabilities over MiQ’s or open source data sources. Able to identify, infer and evaluate capabilities to enhance current solutions or create new ones
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Strategy
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- Scale strategic accounts by improving over existing solutions or able to build over existing capabilities ➔ Drive new initiatives for operational excellence within the team within data science, coding, product and tech ➔ Working with local leads to align to respective regional strategies. Identify opportunities and provide updates on teams capabilities and support on account where needed
- Working with other DS teams/Product Managers and understanding and able to suggest feature enhancements within various MiQ products based on market requirements
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Innovate
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- Able to generalize capabilities and workflows increasing team’s efficiency
- Initiatives to research and come up with new ideas to experiment and leading up to new capabilities creating business impact
- Research new developments across data science and educate team members by trying new POCs
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Lead & Guide
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- Should be able to mentor and guide new hires or interns
- Active participation in recruitment, designing and managing assignments and interviews
- Committed to delivers the best towards organization's goals and values
- Provide constructive feedback to counterparts and work on received feedback
- Drive brainstorming sessions/ Hackathons/sharing best cases within the team or externally
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SECTION 5- SKILLS Must Have
- Strong coding experience in R/python. Should be able to execute independently at scale ● Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics
- Sense of ownership and accountability
- Experience building data pipelines and deploying model in cloud environment
- A critical thinker. Should be able to identify business problems and provide expertise on approaching the solutions
- Should be able to independently pitch new solutions catering to clients specific asks ● Should be able to mentor and guide other members
Good to Have
- Experience within programmatic marketing domain
- Experience in building Market Mix Models, Attribution, Churn, Customer behavioral predictions, recommendation engines
- Experience designing data products and integrations
- Stakeholder Management
- Tableau knowledge
At MiQ, we don’t just accept the differences of our people, it is what builds us as a community. MiQ is very proud to be an equal opportunity workplace.