What you'll do :

As a Senior/Lead Data Scientist, you will work on a broad range of cutting-edge data analytics and machine learning problems across various industries; Seamlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project. On a typical day, you might

• Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
• Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
• Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
• Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
• Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
• Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

What makes you a great fit :

• 6+ years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
• Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
• Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
• Encourage collaboration with various stakeholders and take complete ownership of deliverables.
• Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations
• Effective mentoring of a team with expertise in industry/domain/functional areas.