Full-Time Data Scientist Analyst

About Aryng :

Aryng is a Data Science consulting, training, and advising company. Aryng's SWAT Data science team helps solve complex business problems, develop the company's Data DNA through Data Literacy programs, and deliver rapid ROI using machine learning, deep learning, and AI. Our client list includes companies like Google, Box, Here, Applied Materials, Abbott Labs, and GE among others.

• Are you overworked and have no work-life balance?
• Are you frustrated with building models but unsure if your work is driving any impact?
• Are you a downstream order taker with no access to clients or stakeholders?
• Are you tired of your company's work culture with useless hierarchy and bureaucracy?
• Are you constantly in a support role with no seat at the table?

If Yes then come Join Aryng. Aryng is looking for a seasoned data scientist analyst who wants to drive impact with their direct hands-on work with the client. This role would include 80% analytics and 20% data science work along with client account management. This is a permanent job role in a fast-growing start-up with a fantastic work culture and excellent job satisfaction.

Here are our core values:

1. We have a non-hierarchical, super-transparent culture. We all know what everyone is working on, where we are going, and how we are doing.
2. We are all learners, entrepreneurial, and love growth.
3. We are super talented and are known in the industry as a SWAT data science team

We have a flexible remote work policy in India. Work from the beautiful beaches of Goa or your ancestral village, we are all good so long as you have a good internet connection and stable power supply.

This role requires mandatory overlap hours with clients in the US from - 8 am - 12 pm PST.

Requirements

• Have 3+ years of experience as an Analyst or Data Scientist 
• Application of statistical concepts like A/B Testing, Hypothesis testing, and statistical tests 
• Experience in visualization tools like Tableau, Amplitude, Mode, and Excel.
• Strong Decision Science skills, and can not only listen but also provide input on business and help leadership make decisions
• Excellent communication and stakeholder management.
• Use predictive modeling to increase and optimize customer experiences and revenue generation, increase growth, and drive profit.
• Skilled in understanding the business problem and converting it into an analytics problem.
• Degree in a quantitative field like statistics, economics, applied math, operations research, engineering, finance, or business intelligence is a plus
• Help with other activities to grow Aryng, including blogging, evangelizing the use of data science, mentoring trainees, and hiring.