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Support Data Science activities around logistics operations, freight costs & sustainability (carbon footprint). Works with the team to mine data using modern tools and programming languages. Implements models to uncover...
Manage a group of exempt analysts with a focus on maintaining an IT application and doing all necessary preparation to make the application audit ready. Lend expertise and mentor others...
5+ years of experience in Applied Science or Data Scientist role, with emphasis on digital paid media metrics. Thorough understanding of digital media metrics, both from a brand and direct...
Ability to lead data investigations and analysis projects with ambiguous requirements. Experience exploring mixed categorical and quantitative data. Experience visualizing and presenting analyses in tools such as Tableau or Power...
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company. Developing NLP models to...
You are curious and inquisitive: love digging into data and uncovering insights. You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling. You...
Operate on the cutting edge of modern ML and build novel high-ROI features such as embeddings that can be shared in use cases across the company. Developing NLP models to...
Support Data Science activities around logistics operations, freight costs & sustainability (carbon footprint). Works with the team to mine data using modern tools and programming languages. Implements models to uncover...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.