Data Scientist

Location : Any LTIM offices(hybrid)

Years of experience: 3 to 8 years

Role Detai

• lsWe are looking for an enthusiastic data science contractor to design implement and update our machine learning products that optimize paid media investment decisions You will support the development of our media mix models MMMs by creating an interpretable and scalable solution to recommend optimal investment strategies across marketing channels You will use the MMMs to calculate efficiency metrics by channel estimate the incremental impact of media spend and perform adhoc deep dive analyses as needed An ideal candidate would be someone with a track record of building and deploying models excellent communication skills and interest in the streaming entertainment industry
• 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 need
• Build and deploy end to end 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 back testing and evaluation of observed data
• Deliver data insights at the appropriate level of detail and perform fast follow up to feedback

Qualifications

• 02 years experience in Data Science and ML Engineering
• MS or PhD in Statistics Data Science Computer 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

Preferred

• Experience using Google Cloud Platform BigQuery ML Engine and
• APIsExperience 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 aplus
• Background in deep learning and Tensorflow is a plus

Skills

Mandatory Skills : Dimensional Data Modeling,Market Mix Modeling, Python

Good to Have Skills : BI Solutions Architecture, PowerBI,Tableau