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Description:
MediaLab is a media and technology company focused on acquiring and growing properties and global brands.
The organization combines private equity, holding company, and operating entity functions.
The company is expanding and has a prominent market position with its brands.
The role of Data Scientist involves researching and developing models that contribute to revenue growth.
Responsibilities include selecting, training, and tuning machine learning models for specific business use cases.
The Data Scientist will interface with stakeholders to understand business cases and validate models during development.
Key tasks include researching solutions to business problems, training and fine-tuning models, and producing clean, reproducible code.
The Data Scientist will work closely with ML Ops and the Data Team to implement models into applications and drive improvements in KPIs.
Potential projects include vectorizing website content, training supervised ML models on labeled images and video, developing dynamic bid floors for RTB auctions, and improving spam-detection models.
Requirements:
Candidates must have 3-5 years of professional experience as a Data Scientist building statistical models and AI/ML solutions.
A demonstrated ability to work through projects effectively and self-direct while involving stakeholders is required.
Advanced Python skills are necessary, including professional experience with common data science libraries such as pandas and numpy/scipy.
Candidates should have experience with the data science project lifecycle, including problem definition, data investigation and preparation, model selection, training, and validation.
The ability to write clear documentation is essential.
Experience in the ad tech industry or working with real-time bidding (RTB) is a plus.
Benefits:
MediaLab values diversity and is committed to being an inclusive, equal opportunity workplace.
Employees will have the opportunity to work with an exceptionally talented team of engineers, designers, product, and business builders.
The company offers a remote work environment, allowing flexibility in work location.
Employees can contribute to significant projects that drive revenue growth and improve company KPIs.