Data Scientist

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 Data Bricks

• Familiarity with data visualization tools and techniques

• Experience working in cross-functional team environments

Technical Skills:

• Proficiency in Python and SQL (required)

• Experience with Data Bricks (preferred)