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We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
Senior Data Scientist
Location
India
Posted
67 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
Empower
• Design and implement advanced analytical and machine learning solutions for complex business problems • Select and adapt appropriate data science techniques, models, and architectures • Lead execution of complex data-driven projects from analysis through deployment • Develop and implement end-to-end data pipelines and machine learning models • Evaluate and integrate third-party and open-source tools and technologies • Provide technical guidance to other data scientists • Communicate complex insights and recommendations to senior stakeholders • Contribute to data, analytics, and AI security guidelines
Job Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)
- 5+ years of professional experience applying data science, advanced analytics, and machine learning techniques
- Demonstrated experience creating data mining architectures and advanced analytical models
- Direct experience delivering AI/ML solutions in production
- Experience with Generative AI, machine learning, and advanced analytics
- Strong experience with Python, R, and SQL
- Experience with cloud-based data and analytics platforms
- Experience with data visualization tools such as QuickSight, Tableau, or Power BI
- Strong communication skills and ability to translate insights into business value
Benefits
- flexible work environment
- fluid career paths
- internal mobility encouragement
- recognition of purpose, well-being, and work-life balance
- welcoming and inclusive environment
- volunteering opportunities
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