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Helping brands connect with consumers through product usage data and analytics

Data Scientist

$40k – $60k • 0.25% – 0.5%
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We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Adrich is an IOT meets AI platform that uses sensor enabled smart labels to capture consumer usage patterns and models business critical metrics such as ounces/grams per use.

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines are met
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Finding available datasets online that could be used for training
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production

Adrich at a glance

Helping brands connect with consumers through product usage data and analytics

Adrich focuses on Food and Beverages, Wine And Spirits, Supply Chain Management, and Consumer Packaged Goods. Their company has offices in Pittsburgh. They have a small team that's between 1-10 employees.

You can view their website at http://www.adrich.io or find them on Twitter, Facebook, and LinkedIn.

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