What are the responsibilities and job description for the Full Stack Data Scientist position at recruitometry?
Full Stack Data Scientist
About the Job :
As a FullStack Data Scientist you will be responsible for endtoend data science projects encompassing everything from data engineering and analysis to data modeling machine learning and business intelligence. You will play a pivotal role in leveraging decades of transactional and consumer data points drawn from 20 years of history and sourced from 1st 2nd and 3rd party data. Your expertise will be crucial in building and deploying predictive models that drive list strategy optimization and contribute to the development of a leading data coop. This position requires a deep understanding of data science principles and the ability to translate complex data into actionable insights that support our clients strategic goals.
In this role you will lead efforts to integrate datadriven solutions into our business processes collaborating closely with development list strategy and data teams. You will be tasked with designing and developing robust predictive data models for our clients tailored for use in a variety of scenarios. Your innovative approach and uptodate knowledge of industry trends and technologies will be essential in continuously improving our data science capabilities.
Key Responsibilities :
- Predictive Analytics : Build and deploy predictive models based on large data sets to forecast trends behaviors and outcomes.
- Data Modeling : Design develop and maintain data models to represent the structure and relationships of data within our systems. Ensure data models meet business requirements and support data integrity consistency and security.
- Dataset Creation : Where applicable develop tailored datasets necessary to support predictive analytics engine and models.
- List Strategy Optimization : Develop models to optimize list strategies using historical transactional and consumer data.
- Data Coop Development : Assist in building and enhancing a leading data coop leveraging data from various sources to provide valuable insights.
- Data Analysis : Perform exploratory data analysis statistical analysis and data visualization to uncover insights and inform business decisions.
- Machine Learning : Develop implement and optimize machine learning models and algorithms to solve complex problems and enhance predictive capabilities.
- Business Intelligence : Deliver actionable insights to support business operations and strategic planning ensuring datadriven decisionmaking.
- Collaboration : Work with stakeholders to understand business needs translate them into datadriven solutions and communicate findings effectively.
- Innovation : Stay uptodate with the latest industry trends technologies and best practices to continuously improve our data science capabilities.
- Project Management : Lead and manage data science projects from conception to deployment ensuring timely delivery and alignment with business objectives.
Qualifications :
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience : years
Vacancy : 1
