Description

Position at NP Digital

Data, Analytics & Insights Internship
NP Digital –  Remote, US 
www.npdigital.com

About NP Digital 

Neil Patel has been recognized by the Wall Street Journal, Forbes, and the United Nations, to name a few, as one of the most influential and successful marketers and entrepreneurs in the world. NP Digital is the agency that brings his passion and insights to life for some of the world’s more important brands.

NP Digital focuses on creating innovative, adaptive, and data-driven digital marketing plans for our clients. Obsessed with helping companies grow and exceed their goals, NP Digital strives to continually help brands connect and engage with their audience.

NP Digital combines proprietary platforms with best-in-class talent to deliver leading edge experiences centered around: paid and organic search, social, content, retargeting, performance display, feed management, and conversion rate optimization.

About the Opportunity 

If you have technical data science skills and a deep curiosity for the plethora of web data but haven’t had the chance to wrangle real-world data or flex your computational craft, we are looking for you.

This is a rare opportunity for an emerging data science developer to immerse themselves in the current digital marketing ecosystem and apply their computational skills to boost our data teams’ execution and impact on our clients.

Primary Responsibilities 

Within our data team, you will learn to refine and amplify data workflows, tools, and infrastructure.

This will entail:

• Developing code for automated workflows that source, process, and convey data (Python/Julia/R). 
• Packaging code into reusable libraries and data science notebooks (Jupyter) 
• Configuring various platforms and vendors (eg Google Marketing Platform, data.world, AWS) to enable integrations with our data workflows 
• Designing and documenting these workflows and data assets, their schemas and interfaces 
• Detecting and debugging data issues to ensure data quality 
• Maintaining and building tidy data catalogs 

Programming

Computing is the essence of technical data work, therefore, as a data computationalist, you will learn to produce clean, expressive code that can:

• Source data from various APIs 
  • Handle authentication 
  • Configure and setup vendors and platforms 
  • Translate technical API documentation into precise code 
• Fluidly process and interoperate between various formats (eg CSV, JSON, XML, Parquet) 
• Prepare data for different applications from visualization to statistical modeling 
  • Combine, subset, join disparate datasets 
  • Apply statistical calculations and algorithms 

This will require producing code that is:

• Abstract and extensible – familiarity with functional (especially dataflow) and object-oriented paradigms (knowledge of “SOLID design principles”) is preferred 
• Sustainable – leverage contemporary tools e.g. version control, testing frameworks, documentation  

Data

Data is our medium, therefore, as an emerging data scientist you will learn to:

• Consolidate data across disparate platforms and model their relationships, schemas, and data types. 
• Apply fundamental exploratory data investigation to both distill meaningful patterns and detect anomalous data in order to continually improve our data quality 
• Wrangle incomplete, sparse, or noisy data to identify leaks in our data pipelines 
• Deftly work with textual data, temporal data, and geographic data 

Required Skills and Expertise 

• This is an internship for recent college graduates 
• Solid fundamental programming skills in: 
  • Query languages – SQL (or SPARQL) 
  • A general purpose language – Python (or Julia) 
  • Numerical computing languages - Python, R, Matlab, or Julia  
  • Textual domain-specific language - Regex  
  • Basic web programming (CSS, javascript) 
• Fluency with the core data science libraries such as: Jupyter, Pandas, Tidyverse. 
• Fluency with Jupyterlab notebooks and their cloud counterparts Google Colab or Azure Notebooks. 
• Proficiency with Git, Github. 
• Proficiency with accessing various web APIs e.g. REST, GraphQL 
• Familiarity with web data platforms e.g. Google Cloud Platform, Google Analytics, Google DataStudio 
• Education or training in foundational data science or statistics or applied math, specifically exploratory data investigation, descriptive statistics, data mining with a broad exposure to various modeling techniques. 
• Bachelor degree in a quantitative subject, such as one that includes coursework in statistics, human computer interaction, data visualization, cognitive science, or computer science/engineering. 

Our internships are designed as opportunities for Senior year students or recent graduates to gain valuable experience and training that will position them for a continued career at NP Digital (if a position is available at the end of the internship).

Compensation:

This is a paid internship with an hourly rate based on related prior experience and skillset. Once the internship is completed, there may be opportunity for successful candidates to transition into a full-time position as an Associate Data Analytics Specialist within the organization, if available and deemed to be a fit.

Due to the investment made in our interns to provide training for a permanent role on our team, we are currently unable to accept applications from students not yet in their Senior year but hope those students will revisit our opportunities once eligible.

If students are still in school, the internship will comply with school’s internship guidelines to be eligible for school credit in addition to compensation.

Duration: 

3-6 months at 10-29 hours/week based on intern’s availability and agency need.

Targeting a March 2021 start.

If you meet all the requirements and are interested in this position, please submit your resume and cover letter outlining any digital marketing experience or specific interest in joining the agency. 

This role will not be benefits eligible during the duration of the internship.   

We value our best-in-class company culture, which is results-driven, innovative, fast paced and fun. We encourage our employees to work with an entrepreneurial spirit and apply a businesslike approach. As an organization, we take a proactive role in investing in our employee’s professional development. We believe our employees are our greatest asset and welcome those who share our vision and drive to build great things together.