Senior/Lead - Data Scientist - KPO

Hybrid Mode

About the role:

As a Senior 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:

- Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.

- 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.

Desired Skills and Experience:

- 6-10 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.