Job Summary:
We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have 8–10 years of experience in data science with a focus on regression methods and unsupervised machine learning. This role requires strong technical expertise, the ability to handle large datasets, and a collaborative mindset to support data-driven decision-making.
Key Responsibilities:
• Develop and implement regression models using XGBoost and neural networks
• Apply unsupervised machine learning techniques such as PCA, k-means, and SVMs
• Conduct data preprocessing, feature engineering, and model evaluation
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Optimize and fine-tune machine learning models for performance and scalability
• Stay current with advancements in machine learning and AI technologies
• Communicate findings and insights to technical and non-technical stakeholders
Required Qualifications:
• Minimum of 8–10 years of experience in data science or a related field
• Strong understanding of machine learning algorithms and techniques
• Hands-on experience with XGBoost, neural networks, PCA, k-means, and SVMs
• Proven track record of deploying machine learning models in production environments
• Experience working with large datasets and distributed computing frameworks
• Ability to work independently and collaboratively within a team environment
• Strong problem-solving skills and attention to detail
• Effective communication skills for presenting technical concepts
Preferred Qualifications:
• Experience with DataBricks
• Familiarity with data visualization tools and techniques
• Experience working in cross-functional team environments
Technical Skills:
• Proficiency in Python and SQL (required)
• Experience with DataBricks (preferred)