Junior Data Scientist

The Jr 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 Buying Account Management, Solutions Engineering, and Econometrics teams. The Jr Data Scientist should be on the right track to become a data specialist with a vision to have a solid background in digital marketing and strong experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate, with the support of senior members of the team, 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

• 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.
• Assist the DS team to 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.
• Assist designing and managing experiments to ensure proper execution, data cleanliness, and statistical significance of results.
• Work closely with the Econometrics team in London and assist consultants on building the Marketing Mix and MTA modelling capacity in the region.

Required Skills And Qualifications

• BSc or MSc in a quantitative STEM subject such as Computer Science, Mathematics, Econometrics.
• Proven experience articulating, translating, and solving business problems through data.
• Familiarity working in a cloud platform such as GCP, Azure or AWS.
• 1+ years of experience in data science with a focus on digital marketing analytics, statistical modeling, machine learning for forecasting, classification and optimization.
• 1+ years of experience analyzing large data sets with the Python or R data ecosystem.
• 1+ years querying large databases (SQL, Snowflake, BigQuery or similar).
• 1+ years experience using Power BI, Tableau, Looker, or similar.
• Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.