Data Scientist (WFH)

About the job:

Company Description

Jigyasa Analytics is dedicated to empowering organizations to make smarter decisions by leveraging data science, machine learning, AI, and synthetic data. We develop innovative solutions in areas such as synthetic data, computer vision, credit risk analytics, subscription and retail analytics to address unique challenges across industries. Our expertise has helped clients improve model performance, mitigate risks, and optimize operations even in data-scarce environments. From credit risk scorecards for lending institutions to subscriber analytics for leading publishers, our work creates measurable impacts. At Jigyasa Analytics, we bring together cutting-edge research and actionable insights to solve complex problems for a diverse set of clients.

Role Description

This full-time, remote position is for a Data Scientist who will work on analyzing datasets, building predictive models, and deploying them into cloud environments. You will be responsible for implementing machine learning and statistical techniques, designing innovative data solutions, and creating clear and engaging data visualizations. The role also involves collaborating with cross-functional teams to understand business challenges, communicate findings effectively, and deliver solutions tailored to client needs.

Qualifications
- Proficiency in Data Science and mastery of machine learning techniques
- Strong foundation in Statistics and Data Analysis
- Knowledge of Cloud Technologies and Platforms
- Experience in Data Analytics and generating actionable insights
- Excellent problem-solving and critical-thinking skills
- Strong Python and SQL programming skills and experience with databases
- Ability to work both independently and collaboratively in a remote setting
- Ph.D. or Masters degree in Data Science, Statistics, Computer Science, or a related field
- Knowledge of domain areas like credit risk, fundraising, and subscription analytics is a plus

Who can apply:

Only those candidates can apply who:
- have minimum -1 years of experience

Salary:
Competitive salary

Deadline:
2035-01-01 00:00:00