Data Scientist
Remote Worker - N/A Data Science
Job Type
Full-time
Description

We will only consider candidates that are physically located in the following States (no exceptions)

CA, CO, CT, FL, GA, IL, IN, MA, MD, ME, MI, MN, MO, NC, NJ, OK, OR, PA, SC, TX, UT, VA, VT, WA, WI


We do not sponsor work visas/OPTs/CPTs/Perm. Res. etc.


WHO WE ARE (Why you will LOVE us)

Academic Programs International (API) encourages students of all ages to embark on a lifelong experiential educational journey that enriches lives, communities and organizations and helps every student, college and company to achieve their goals.

Through the creation of APIConnect, an experiential education technology platform, the company helps colleges, universities and students create and discover learning experiences customized to meet their needs. APIConnect offers a vast library of destinations, accredited courses, internships, and original programming geared toward maximizing students’ college experiences so they are better prepared for the workforce upon graduation.

Headquartered in Austin, Texas, US, API sends thousands of students on hundreds of programs both virtually and in more than 60 cities in nearly 25 countries in Asia-Pacific, Europe, Latin America, North America, and the Middle East.

If you are someone who thinks differently, is passionate about serving students, and wants to be a part of a fun and hard-working culture, then this is the company for you.


What you will be doing

API is growing! We are looking to hire an experienced Data Scientist who will play a key role within the company, working on the development of our API Connect platform. Join our mission-driven, growth-oriented company and collaborate among our talented, innovative and accomplished team of professionals seeking to evolve international and experiential education!

Requirements

 

How you will get the job done

Primary responsibilities include:

  • Creating analytic solutions for our customers through the use of data visualization and strong data analysis. 
  • Identifying new opportunities to apply Data Science solutions to empower our customers and employees. 
  • Managing and developing new analytic data pipelines that power our dashboards and models. 
  • Strong understanding of the Data Science Lifecycle and ability to apply it to data and research needs (EDA, ML, Statistical Modeling, Productionalization).
  • Work closely with the Product teams sharing your insights from experience and proposing innovative solutions that address platform gaps and enhance our offerings.
  • Comprehensively document decisions, outlining the pros and cons of each choice to convey a team-wide understanding of tradeoffs and ensure both Engineering and Product teams are synchronized.
  • Advocate for techniques and technologies that can improve our technology stack.

WHAT WE ARE LOOKING FOR

What experience you should have

  • Strong data management and problem solving skills; ability to troubleshoot and exercise sound judgment and decision making skills.
  • A demonstrated ability to understand and articulate complex requirements and think strategically about how to effectively and efficiently implement. 
  • Proven ability to meet deadlines and drive projects to completion, handle and prioritize simultaneous requests, and manage laterally and upwards.
  • Exceptional verbal and written communication skills with ability to communicate effectively at all levels within the organization.
  • A “get things done” mentality.


KEY EXPERIENCE & EXPERTISE 

  • Strong Python programming skills (experience in ML and Data libraries for Python such as Pandas, Numpy, Scikit-Learn, PyTorch/TensorFlow, StatsModels)
  • Requires strong SQL development skills – writing complex queries and stored procedures – SQL, PL/SQL, T-SQL, Oracle
  • Expertise in Data Visualization techniques and Tableau skills.
  • Ability to analyze structured and unstructured data from data sources, mobile devices, NoSQL data systems, cloud, and the related query and analysis tools.
  • Experience analyzing complex data sets and creating dashboards and visualization to find trends and patterns in data.
  • Experience with statistical analysis and information analysis tools.
  • MS in Computer Science, Data Science, Engineering or relevant field or relevant work experience.

CORE COMPETENCIES

  • Customer Focus | Problem-Solving | Communication | Team Approach
Salary Description
$90,000 - $120,000