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Full Stack Data Scientist Intern - Summer 2021

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The Full Stack Data Scientist Intern position is a great opportunity for a motivated student to work with an early growth technology company and a young engineering team to evolve our existing products and architecture and implement new features and functionality. In addition, you will work closely with internal and external clients to understand their business needs and then work closely with their data environments to find the necessary pieces for solutioning needs. Our candidate will develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right tools & frameworks for developing solutions that help companies make data driven informed decisions.

Essential Functions

  • Build robust and scalable software and AI/ML models; design and implement new functionality for KPISOFT products and platform
  • Engage in all aspects of release cycles including requirements review, work estimation, design, implementation, testing and review
  • Identify gaps in requirements or designs and present options to address them
  • Work with the product team to understand end-users requirements, formulate use cases, and translate them into pragmatic and effective technical solutions
  • Dive into difficult technical problems and successfully deliver results on schedule
  • Collaborate with Engineering and Product team to design new programs

Candidate Profile

Full Stack

  • Hands-on experience in coding and software development in a previous professional internship or work experience
  • Experience building APIs
  • Experience with modern front-end design and Javascript frameworks
  • Proficiency with SQL and NoSQL database technologies
  • Experience with Big Data storage and processing techniques, including Hadoop, Spark.
  • Experience with data visualization frameworks
  • A track record of successfully completing projects on time and delivering on schedules and commitments
  • Strong problem-solving skills and a passion for solving complex challenges
  • Ability to work independently and within a team
  • Proven ability to learn quickly and adapt under pressure
  • Self-started who can drive through ambiguity and thrives in a fast-paced, dynamic early growth start-up environment

Data Science

  • Ability to leverage a wide variety of data science tools and frameworks
  • Experience in modelling analytics solutions for complex use-cases
  • Proficiency in modern Machine Learning libraries (Tensorflow/Keras/PyTorch)
  • Strong understanding of fundamental statistics and an ability to translate business requirements into analytical models
  • Some exposure to deep learning/reinforcement learning models
  • Proficiency in R/Python

Supervisory Responsibility

This position has no supervisory responsibilities.

Work Environment

This position operates in a professional office environment. This role routinely uses standard

office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk; use hands to finger, handle or feel; and reach with hands and arms.

Position Type and Expected Hours of Work

This is a full-time internship position. Days and hours of work are Monday through Friday, 8:30 a.m. to 5:30 p.m.

However, we will be offering flex-schedule if needed in order to accommodate university schedule/class needs.


This position requires minimal (

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