Senior Data Scientist
Job Summary
Juice Media a multi channel advertising firm and growth consultancy that uses a holistic approach to create profitable go to market campaigns at scale.
We provide clients with vertically integrated, unbundled solutions across their acquisition marketing needs, from strategy & planning to execution and optimization & modeling / forecasting.
Our clients represent best of breed brands across a diverse range of verticals and geographies.
The Senior Data Scientist develops models, statistical analyses, and machine learning algorithms to predict marketing outcomes (e.
g. sales and revenue) and understands the impact of advertising investments across multiple channels for companies in various industries.
The Senior Data Scientist will be responsible for data prep, model development, model deployment, and maintenance to ensure quality and accuracy.
Will provide analytical support to drive business insights for marketing and advertising campaigns. This position requires strong analytical skills in understanding and applying machine learning and optimization techniques as well as the experience in developing in-production data science applications.
Responsibilities
- Develop innovative modeling approaches for better understanding of the consumer response and the impact of advertising across multiple channels.
- Apply state-of-the-art optimization algorithms to guide efficient media budget allocation.
- Partner with a consulting team to generate actionable recommendations to help clients make data-driven marketing decisions.
- Collaborate with Data Engineering in productionizing and deploying data science applications.
- Document technical details of work to improve collaboration with other team members.
- Guide and mentor junior data scientists in best practice regarding methodology.
- Keep pace of development in marketing research and continuously drive best practices in the development environment.
LI-LP1
Qualifications
- Master’s degree or above in statistics, mathematics, economics or another quantitative field
- 7-8 years professional work experience (preferably in ad tech) in data science, statistical analysis, and model development
- Deep understanding of Time Series, numerical optimization, and machine learning algorithms and experienced in applying them in real life problems
- Experience in applying advanced Bayesian modeling techniques is a plus
- Proficiency in querying databases (SQL) and leveraging programming languages (Python etc.) to analyze complex datasets
- Familiarity with end-to-end data science workflow and various model deployment methods
- Working knowledge in relational databases and Amazon Web Services : Redshift, S3, Athena, etc.
- Demonstrated problem solving and analytical reasoning skills
- Excellent interpersonal, verbal, and written communication skills
- Experience in marketing analytics and advertising is a plus
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