Develop and deploy customer-focused AI and data science solutions, translating user needs into production workflows through rapid prototyping, customer feedback, and close collaboration with cross-functional teams.
Data Scientist
📜 Description
- Apply data-driven approaches to complex real-world problems.
- Work with advanced data science, machine learning, statistical modeling, or applied research.
- Use analytical and quantitative problem-solving skills in a high-performing technology environment.
🛠️ Requirements
- Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
- Experience working in high-performing technology environments with exposure to advanced data science, machine learning, statistical modelling, or applied research.
- Undergraduate degree from a top-ranked university in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Strong analytical, quantitative reasoning, and problem-solving skills.
- Ability to apply data-driven approaches to complex real-world problems.
- Currently residing and working in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand.
Full job description
This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 15000000 (ie INR 50 - 150 LPA)
Min Experience: 1+ years
Location: United States, United Kingdom, Canada, Australia, New Zealand
JobType: full-time
We are seeking experienced Data Scientists and Machine Learning Scientists currently working at leading technology companies. The ideal candidates will have a strong technical background in data science, machine learning, and analytical problem-solving, along with an undergraduate degree from a top-ranked university.
Requirements
Key Requirements
- Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
- Experience working in high-performing technology environments with exposure to advanced data science, machine learning, statistical modelling, or applied research.
- Undergraduate degree from a top-ranked university in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Strong analytical, quantitative reasoning, and problem-solving skills.
- Ability to apply data-driven approaches to complex real-world problems.
- Currently residing and working in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand.
Preferred Candidate Profile
Candidates should have professional experience at established, top-tier technology organisations and demonstrate strong technical expertise in data science or machine learning.
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