Research Data Scientist

SAMY is a leading global social first agency. We activate end-to-end media strategies, connecting with audiences in the most integrated and effective ways to solve key business challenges and make brands matter. 

We are the first international ecosystem fueled by creativity, technology and culture, and by a team of 900+ people across 20 offices and 55 markets, serving more than 270 leading clients, including Europe, the U.S. and Latin America, who live and breathe social-first. Together, we create relevancy in the social universe for blue-chip brands such as L’Oréal, The North Face, Diageo, Microsoft and Samsung, among others. 

Our vision is to lead the evolution of brand communication. At our core, we are Bold, Human and Transformative. We are adventurous. SAMY is where your career pushes boundaries and unlocks your highest potential. We were born with a desire to go further. To defy the status quo. To reshape our world. 

This is your opportunity to work around the globe. With exciting clients. In projects that shape the industry.​

Role Overview: As a research data scientist, you will report to the Head of Data Science and be responsible for scoping, managing, and delivering data science research projects to clients and for managing the development of our own analytic tools and pipelines. At SAMY, we split data science projects into either direct research for clients - such as delivering NLP research on large language data sets, or segmenting corpora of influencers based on their content - or experimental development - such as designing experiments to compare the efficacy of different LLMs at achieving a task, or taking a model from one research project and building the results out into an app. The research data science role will be integral in both of these disciplines and is a great opportunity for a scientifically minded individual to develop across the entire breadth of data science skills and responsibilities.

Ultimately, it’s a really exciting time to work in data science and in influencer marketing, we have some of the most fascinating data sets on digital behavioural data. We want to be at the forefront of the new data science and AI genesis and think creatively about how DS can solve problems and innovate new ideas whilst also safeguarding the user data and building secure and representative pipelines and this role is going to be the centre point of that.

Key Responsibilities:

• Data Experimentation: Design, conduct, and deliver experiments that expand the potential of our data science capabilities.
  

• Data Research: Design and deliver research methodologies as part of client funded projects. Typically this will be some form of NLP on large language datasets from social listening or digital communities.
  

• Package Management: Help make our workflows replicable by maintaining and developing our in-house suite of R packages, Shiny apps, and libraries.
  

• Future States: Work with our AI and ML team to help scale some of the small prototypes we innovate and get some of your ideas into practice quickly.
  

• Stakeholder Engagement: Everyone wants part of the data science pie at the moment! Working with stakeholders to scope feasibility of projects whilst still finding room to innovate is a must.
  

• Collaboration & Mentorship: We have a diverse group of specialist data scientists each with their own niche and you will be no different. We want everyone to learn from each other and become more well rounded professionals as a result.
  

Requirements

Required Skills & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  
• 3+ years of experience as a Data Scientist or in a similar role.
  
• Proficiency in Python and R
  
• Strong experience with R and Python packages for applied delivery like Shiny and Plotly
  
• Experience with data studio software like Looker is desirable.
  
• Solid understanding of data science modeling methods, specifically relating to NLP and dimension reduction.
  
• Familiarity with data governance principles and data security best practices.
  
• Experience working with APIs for data extraction.
  

Benefits

• Workplace pension scheme
  
• Quarterly company outings
  
• Quarterly company awards
  
• SHARE Birthday bank holiday in November
  
• Fully stocked breakfast kitchen and beer fridge
  
• 3pm finish every Friday
  
• Flexible hybrid working
  
• Gympass
  
• Mentor scheme
  
• Training scheme
  
• Monthly massage & hairdresser appointments
  
• Employee referral scheme
  
• Employee assistance programme (Health Assured)
  
• Employee health benefit (Medicash)
  
• GOV bike cycle to work scheme
  
• Season ticket loan
  
• Contractual 25 annual labour days, with an unlimited paid holiday allowance