Staff Data Scientist - Digital Marketing (ID:1522)

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

Get to know your customer using media mix modeling, media spend forecasting, location data from consumer devices, and audience segmentation insights.

We are looking for a Senior Data Scientist to join our team. This position is for world-class engineer who wants to take location-data understanding to a new frontier, where it connects with real-world behavior. We love building regression models, classification algorithms, data visualizations, and geo-spatial clustering, within our location-data platform, which processes terabytes of data daily to generate the fundamentals of location-data products. We combine billions of individual pieces of information into a comprehensive dataset of hundreds of millions of places in the US and Canada. From restaurants to bars, stores to parks, hotels to colleges, our database spans every type of point-of-interest across North America.

Data Scientist will design, prototype, and test algorithms that turn hundreds of TBs of raw location data into valuable products. Our approaches include exploratory data analysis, hypothesis testing, creation of heuristics, and machine learning techniques. Working with extremely large data sets requires the design and development of highly memory- and CPU-efficient methods. We use a mixture of commercial, open source, and home-grown solutions. Experience with horizontally scaling statistical algorithms is a plus as is familiarity with Spark and/or the Hadoop ecosystem. Your findings will be built into our core products. The technical skills we look for are a mix of computer science, problem solving, and statistics. You will work closely with engineering, and we value the ability to get deep into the math behind algorithms.

• Design and prototype of scalable algorithms
• Assess the quality of new datasets for downstream processing
• Create functional and technical documentation of analyses, findings, and prototypes
• Collaborate with Engineering to productionize prototypes
• Communicate results to teams within the organization and to customers
• Find creative solutions to business problems and develop them into products
• Own and drive projects with minimal guidance
• Generate and implement Machine-Learning algorithms

Why do we need your skills?

• Experience with Scala, Spark, Python, AB testing, Bayesian statistics, Graphical Data Structures, Functional Programming
• Experience with Deep Learning, Probabilistic Graphical Models, Active Learning, Anomaly Detection, Image Classification
• PhD in a quantitative field, or Master with 5+ years’ experience in a data science role
• Extensive background in math or statistics
• Experience owning multiple large projects/data products
• Completing all research/design from initial question to proof of concept ready for productionization efficiently
• Documenting all findings, processes, and use cases for both a technical and non-technical audience