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Senior Data Scientist
Job summary
A leading technology analytics firm is seeking a Senior Data Scientist to guide advanced analytics and machine learning initiatives. This remote role requires over 10 years of experience in data science, with strong expertise in machine learning and predictive modeling. Candidates should have leadership experience, particularly with Azure ML preferred, and the ability to mentor junior team members. This position offers a unique opportunity to influence AI strategy and drive impactful projects.
Qualifications
- 10+ years of experience in data science, advanced analytics, or machine learning.
- Strong expertise in machine learning and predictive modeling.
- Hands-on leadership experience with Azure ML (preferred).
Responsibilities
- Lead complex machine learning and advanced analytics initiatives.
- Define and enforce best practices for model evaluation.
- Advise leadership on AI and analytics strategy.
- Mentor and guide junior data scientists.
- Translate data insights into impact.
Skills
Tools
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 Months
Work Hours: US Time
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote
We are seeking an experienced Data Scientist to provide thought leadership in advanced analytics, machine learning, and enterprise-level modeling strategy. This role is ideal for a senior professional who can lead complex initiatives, influence AI strategy, and mentor junior team members while working closely with stakeholders across the organization.
- Lead complex machine learning and advanced analytics initiatives
- Define and enforce best practices for model evaluation, validation, and governance
- Advise leadership on AI, analytics, and data science strategy
- Mentor and guide junior and mid-level data scientists
- Partner with engineering and business teams to translate data insights into impact
- 10+ years of experience in data science, advanced analytics, or machine learning
- Strong expertise in machine learning, statistics, and predictive modeling
- Hands-on leadership experience with Azure ML (preferred), GCP or AWS
- Experience defining enterprise analytics and AI strategies
- Strong communication and stakeholder management skills
- AI / Testing Tools: Cypress, Robot Framework, JMeter, unit testing frameworks
This role offers an opportunity to shape enterprise AI strategy while remaining hands-on in high-impact modeling initiatives.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.