Data Scientist
This full-time Data Scientist role at Confidential Client's client targets experienced professionals currently working at leading technology companies. The position requires strong expertise in data science, machine learning, and analytical problem-solving to address complex real-world problems, with candidates residing in select English-speaking countries. The role offers a competitive salary and emphasizes advanced technical skills and experience in high-performing tech environments.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Artificial Intelligence / Machine Learning (Confidential Client).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
This opportunity is on behalf of a confidential client in the Artificial Intelligence / Machine Learning industry. We are seeking a Data Scientist with ~1+ years of hands-on experience building and applying ML and statistical models in high-performing technology environments. Candidates should currently be working at a leading technology company or have equivalent applied experience.
This is a full-time role. Candidates must currently reside and be authorized to work in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand.
What You’ll Do
- Apply statistical modeling and machine learning techniques to solve real-world product and business problems.
- Design experiments, analyze results, and provide actionable insights to stakeholders.
- Build, evaluate, and iterate on predictive models and ML systems (prototyping through validation).
- Collaborate with engineers and product teams to move models toward production.
- Communicate technical results clearly to cross-functional audiences.
Minimum Qualifications
- Currently employed as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company (or equivalent experience).
- Bachelor’s degree from a top-ranked institution in Computer Science, Data Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
- 1+ years of professional experience applying ML/statistics in production or near-production settings.
- Strong quantitative reasoning, statistical knowledge, and problem-solving ability.
- Hands-on experience with Python and common data/ML libraries (e.g., pandas, scikit-learn, PyTorch or TensorFlow) and working knowledge of SQL.
- Proven ability to apply data-driven approaches to ambiguous, high-impact problems.
- Currently residing and authorized to work in one of: United States, United Kingdom, Canada, Australia, or New Zealand.
Preferred
- Experience at top-tier technology organizations or startups with demonstrated impact.
- Background in applied research, causal inference, time-series forecasting, or large-scale ML.
- Experience shipping models to production and working closely with engineering teams.
- Strong communication and stakeholder-management skills.
Compensation & Employment Type
- Employment type: FULL_TIME.
- Posted salary range (disclosed by source posting): ₹5,000,000/yr – ₹15,000,000/yr (INR). Converted approximate USD range for transparency: $61,000/yr – $183,000/yr (approx.). Your actual pay will be based on skills and experience and may vary by location and local employment laws.
Location & Eligibility
- Applicants must currently reside and be authorized to work in one of these locations: United States, United Kingdom, Canada, Australia, or New Zealand.
- This posting may require compliance with local employment rules; candidates are responsible for ensuring work authorization for the location where they will be employed.
Why Join via Careertakes
- Confidential, third-party recruitment supporting a direct hire with a Confidential Client in AI/ML.
- Access to additional matched roles via the Careertakes platform.
- Competitive compensation and opportunity to work on impactful ML systems at scale.
Note on Selection & Screening
Careertakes and the hiring team may use a combination of human review and tools (including automated resume screening) to assess applications. Human decision-makers make final hiring decisions.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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