Data Scientist

Job description

• Design implement and update media mix models to find the optimal investment mix across marketing channels
• Interpret and translate findings from the MMM into actionable business insights
• Work closely with other data scientists and business intelligence analysts to create deep dive analyses to address questions from stakeholders
• Support regular shareouts by creating visualizations and delivering presentations as needed
• Build and deploy endtoend ML pipelines that can handle largescale data efficiently
• Continuously monitor model performance in production via automation and iterate to maintain relevance
• Experiment with novel methods to improve MMM accuracy and interpretability
• Validate models through backtesting and evaluation of observed data
• Deliver data insights at the appropriate level of detail and perform fast followup to feedback
• Qualifications
• You Have
• 02 years experience in Data Science and ML Engineering
• MS or PhD in StatisticsData ScienceComputer Science or related disciplines with specialization in machine learning techniques
• Knowledge of both supervised and unsupervised machine learning techniques
• Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data science products
• The ability to write robust code in Python and leverage associated machine learning packages
• Experience using Jupyter Notebooks
• Familiarity with a variety of statistical models and methods ie causal methods treebased algorithms time series analysis regression analysis
• Communicate concisely and persuasively with engineers and product managers
• Strong detail orientation with a penchant for data accuracy
• Familiar with version control systems Git BitBucket
• Must successfully pass a background check
• You might also have
• Experience using Google Cloud Platform BigQuery ML Engine and APIs
• Experience using project management tools like those from Atlassian JIRA Confluence
• Can wrangle data using SQL and Pandas
• Background in NLP or text mining techniques is a plus
• Background in deep learning and Tensorflow is a plus