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TITLE

 

Data Science Internship

COMPANY

 

Bluecore

LOCATION

 

New York City, NY, US

Description

We are looking for Data Science Intern to work along side our data scientists to build models that can generalize across and provide value to our 400 plus brands. The ideal candidate can apply their coursework and experience to solve real-world problems and has a knack for solving complex problems with simple solutions.  Our internships are designed to challenge and stretch by having our candidates work on some of our hardest problems.  Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door.
 
First-party data is at the core of everything we build and the Data Science team at Bluecore is at the forefront of exploring innovative and exciting ways to activate that data asset.  We’re a dedicated team of data scientists and engineers working together to build powerful models that empower marketers to make the right decisions and engage their customers with personalized content.  Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary.  We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, and matrix factorization to identify a customer’s product affinity.  Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 300+ diverse customers who span industries from apparel to automotive.  To explore, build, deploy and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Google App Engine and Google Compute Engine. Finally, we’re a team that values applied research and constantly exploring the frontier of what’s possible; diving into topics such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and most recently an extensive dive into differential privacy.

Responsibilities

    • Work alongside our data scientists to deliver elegant, generalizable and production ready models
    • Explore a problem end-to-end from literature search, to experimental design, to model evaluation, to production

Requirements

    • Currently enrolled as a full-time PhD or MS student in Computer Science, Electrical Engineering, Applied Math, Statistics or other relevant quantitative disciplines
    • Strong mathematical background
    • Experience writing software in a programing language such as Python, C++, Java, or Go (Our backend is primarily in Python) is a plus
    • Knack for getting things done, whether it be independently or in a team
    • Communicates well in all formats
At Bluecore we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
 
Bluecore is a proud equal opportunity employer. We are committed to fair hiring practices and to creating a welcoming environment for all team members. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, familial status or veteran status.
 
At Bluecore we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
 
Bluecore is a proud equal opportunity employer. We are committed to fair hiring practices and to creating a welcoming environment for all team members. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, familial status or veteran status.

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