About Hearts & Science…
Hearts & Science is one of the fastest growing agency in the market. Our mission is to challenge conventions and create transformational change for our clients. Our work and our people are recognised as best in class through awards and accreditations. In the face of what is an increasingly complex, and volatile media and marketing landscape, Hearts provides a new perspective that is unincumbered with legacy structure and operations. Hearts is free to embrace new opportunities in technology and data, and flexible in structure and process so we can build our agency service based on the needs of our clients.
Team Overview:
The Advance Insights and Marketing Science team estimate the value of specific marketing activities be that a TV, Radio, Search, Youtube or Facebook advert. We add colour to this by understanding groups of customers and their motivations through both behavioural and panel based datasets. What did you buy, why did you buy it and how much did it cost to get you to pick our products or services.
Role Overview:
Data Science sits at the heart of everything we do in the data team. It's a wide ranging role, you will be coding machine learning algorithms, helping clients answer difficult questions, working with complex datasets and designing approaches to measure media campaigns.
The Data Scientist will need strong ML and coding skills. You will need to be a very competent Python coder (some R experience would be beneficial too) and have experience working with a range of stakeholders in order to deliver actionable insights. You will need to be used to pushing the boundaries and coming up with new ways of doing things, constantly trying to improve everything we do.
Working across multiple clients your day to day will be working on a number of areas:
- Consulting with clients, understanding their problems, designing analytics solutions, interpreting and explaining results
- Developing models and methodologies that keep us on the cutting edge of data science. Working across both prototypes and full production algorithms and products
- Developing our ways of working in regard to modelling, statistics, ML, Cloud, Collaboration
- Mentoring other team members
- Building relationships and collaborating with a number of internal stakeholders across the agency and the group
Skills
- Machine Learning experience with good coding skills in Python, SQL and some R
- Proven ability to deliver complex analytical solutions, able to interpret results and make client recommendations
- Significant experience with data mining, generating insights and applying them in a business setting
- Experience with a range of statistical approaches including Bayesian, Linear Regression and others
- Strong Stakeholder Management including external clients, previously operated as a mentor for more junior team members
- Data Visualisation and story telling with data
- Analytical, self starter, organised, collaborative, entrepreneurial, data curious, commercially savvy, cutting-edge technical thinker
- Tools & systems
- Python, R, SQL, AWS, SageMaker, Jupyter notebooks, Data Studio, Redshift, Excel, PowerPoint, JIRA
We believe that Inclusion and Diversity makes for a more stimulating and inspiring working environment, where people are treated with respect and can be comfortable being themselves. Embracing these different approaches and thinking helps deliver tangible and positive results for our clients' businesses.
We want everyone to make the most of the opportunity to shine and showcase your talents and we are happy to make adjustments in the recruitment process so you can be your best. Please discuss any specific requirements with your dedicated Talent Acquisition team member or if you would feel more comfortable, you can email us confidentially at to let us know how we can support you.
At OMG, our vision is to be an agency where difference is valued and everyone is able to thrive in a culture of equality, inclusion and belonging. We are committed to providing a truly inclusive environment that reflects today's society, where everyone is able to bring their true selves to work, and where diverse voices and backgrounds are valued, heard, and well-represented
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