Data Scientist in Residence @ Apziva Fellowship
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About Apziva
Apziva is a global company working with professionals from over 65 countries. Their mission is to solve the world’s experience gap and unlock human potential by providing hands-on industry experience in Machine Learning and Data Science.
Position Overview
As a Data Scientist in Residence, you will join a 6-month Residency program, diving into various industry projects. You will collaborate with a team of professionals and tackle challenges from partners spanning Finance, Logistics, Education, Hardware, Retail, and Human Resources.
About the Opportunity
- Gain hands-on industry experience.
- Work with cutting-edge data science tools and technologies.
- Engage in projects covering Deep Learning, Computer Vision, NLP, Time Series, and Recommender Systems.
- Collaborate with experts and mentors.
- Build a professional portfolio through real-world projects.
Requirements
- BA/BS degree or equivalent in Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering or related field.
- Proficiency in Python, SQL, pandas, matplotlib, Scikit-Learn.
- Strong understanding of statistical concepts and machine learning algorithms.
- Exceptional problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively in a fast-paced environment.
What We Offer
The 6-month Residency includes mentoring sessions and project work. You will get exposure to diverse industries and work with expert mentors. Successful participants will be referred to Apziva's hiring partners.
What to Expect Next
You will receive an email with a link to start your self-paced, online application including a series of screening assessments, followed by an interview process.
Key skills/competency
- Data Science
- Machine Learning
- Python
- SQL
- Deep Learning
- Statistics
- Computer Vision
- NLP
- Time Series
- Analytics
How to Get Hired at Apziva Fellowship
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to data science projects.
- Highlight relevant skills: Showcase Python, SQL, and ML expertise.
- Prepare for assessments: Practice coding and statistical questions.
- Research Apziva: Understand their mission and project portfolio.