Senior Data Scientist (Data enrichment)

Senior Data Scientist, Data Enrichment 

WHO WE ARE 

We create the data products & technology that make advertising work better for people. 

Choreograph, an affiliate of GroupM, is a global data products and technology company, purpose-built for an era that demands a new approach to data management, usage, and brand growth. 

Data is the fuel that powers growth. The companies who best leverage data are creating unbeatable advantages over their competitors while simultaneously connecting with customers more effectively.  

Our goal is to help future-focused businesses use their data in ways that meet savvy customers’ expectations while building trust and understanding.   

We are over 700 strong in 17 markets around the world and we offer a modular product suite, empowering marketers to drive sustainable, data-enabled growth. 

WHO WE ARE LOOKING FOR 

We are looking for a Senior/Lead Data Scientist to join a team of experienced data professionals. You will be joining a global team of data scientists with experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape.  

As a Senior/Lead Data Scientist for data enrichment, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences.  

You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills and to help develop and improve the product offerings of Choreograph.   

WHAT YOU’LL DO 

●         Rapidly prototype and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation. 

●         Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. 

●         Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives. 

●         Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance. 

●         Support and upskill more junior team member 

●         Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations. 

●         Stay up to date with the latest advancements, trends, and research in the field of data science, machine learning, and related technologies. 

●         Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization. 

●         Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. 

●         Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionab