Data Science Internship
Bluecore New York, NY, USA No Full Time Any
Internship
Health Insurance
About Bluecore

Bluecore is a cross-channel Retail Marketing Platform specializing in email. Bluecore’s unique ability to match customer data with real-time product updates enables brands to build intelligent, triggered campaigns that span all email programs and channels. By connecting deep data insights, Bluecore’s AI-driven decisioning engine determines the timing and content of the next-best campaign to surface to individual shoppers, driving relevance for shoppers and increased revenue for brands.

Job 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

Perks & Benefits

  • Highly competitive compensation package including salary and equity as well as the opportunity to work for one of the fastest growing marketing technology companies
  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan
  • Monthly fitness stipend for a gym membership or fitness classes
  • Monthly NYC Metro Card
  • Generous Parental Leave & flexible vacation policy

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.

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

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