Senior Data Scientist

The Senior Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics, Media Account Management, and Solutions Engineering teams. The senior data scientist should be a data specialist with strong experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate in all phases of internal research & development and client projects, including project definition, data discovery, data engineering, model development and/or data mining, evaluating options, and making recommendations.

Responsibilities

• Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions.
• Deploy cloud resources (Microsoft Azure, AWS, GCP or other) to perform analysis on large data sets.
• Create ML pipelines models from data-wrangling to getting it into production.
• Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.).
• Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
• Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.
• Act as a consultative resource to help clients understand the quality of their internal testing processes.
• Collaborate with the growth team and other capabilities to enhance the development of new proposals. Participate in discovery workshops, feasibility analysis, project planning, estimation, among other activities.

Preferred skills and qualifications

• MSc or higher in a quantitative STEM subject such as Computer Science, Mathematics and Physics.
• Proven experience articulating, translating, and solving business problems through data.
• Hands-on experience in model deployment, governance, and workflow optimization (MLOps).
• A set of certifications or work experience in cloud vendors (GCP, AWS, Azure).
• 3+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization)
• Experience analyzing large data sets with the Python or R data ecosystem.
• Experience using large databases (SQL, Snowflake, BigQuery or similar).
• Experience using Power BI, Tableau, Looker, or similar.
• Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry with client vertical experience including: retail, financial services/retail banking, insurance, telecommunications, automotive or CPG.
• Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.
• Willingness to both teach others and learn new techniques.

About Media.Monks:

Media.Monks is the purely digital operating brand of S4Capital plc that connects 8,600+ digital natives across one global team. We are united by a mission to shift industries forward and pave the path towards ambitious outcomes so our clients and our people can realize their full potential for growth. Our unified model combines solutions in media, data, social, platforms, studio, experience, brand and technology services to help our clients continuously reinvent themselves throughout increasingly rapid cycles of disruption. Our efforts to shape culture, build innovative technologies and unlock the future of growth have earned recognition from numerous esteemed panels: we maintain a constant presence on Adweek’s Fastest Growing lists (2019-22), regular recognition at Cannes Lions, inclusion in AdExchanger’s Programmatic Power Players (2020-23), the title of Webby Production Company of the Year (2021-23), a record number of FWAs, and have earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023. Together, these achievements solidify our experience in digital innovation, excellence in craft, and commitment to personal growth.

While we continue to grow our teams, please be mindful of fraudulent job postings and recruiting activities that may use our company name and information. Please be mindful to protect your personal information, especially your national identification number, and bank account information during a recruiting process. While Media.Monks may reach out to potential candidates via LinkedIn, we will always ask applicants to apply through our website (https://media.monks.com/careers) and will never ask for payment or bank account information during the recruitment process.

• Responsible for resourcing and implementing security controls for your teams processes and systems
• Responsible that all your personnel apply information security in accordance with the established information security policy