Awone AI - Lead Data Scientist - Predictive Analytics (5-8 yrs)

Role definition :

- Lead and assist in building advanced machine learning models, predictive analytics, and statistical methods to address various business challenges.

- Showcase expertise in programming languages like Python or R, with a focus on writing clear, efficient, and maintainable code.

- Experience with key libraries and frameworks (such as TensorFlow, PyTorch, and scikit-learn).

- Utilize strong problem-solving abilities to create data-driven solutions, analyze complex datasets, and extract actionable insights that drive meaningful results.

- Collaborate closely with clients to comprehend their business goals, identify opportunities for advanced analytics-driven strategies, and communicate results effectively and in a timely manner.

- Manage the entire model development lifecycle, from defining the problem and exploring data to training, validating, and deploying models.

- Work alongside cross-functional teams, including data engineers, software developers, ML-Ops Engineer and business stakeholders, to integrate analytics solutions into business operations.

- Apply a deep understanding of mathematical and statistical concepts to guide the development and validation of advanced data science models.

Desired Skills And Experience :

- Minimum 5 years of comprehensive experience in data science and model development.

- Demonstrate a strong passion for writing high-quality Python code, ensuring it is modular, scalable, and suitable for end-to-end project execution, with active involvement in planning and hands-on work.

- Extensive knowledge of regression and classification techniques, along with the mathematical principles behind them, and proficiency in SQL.

- In-depth understanding of a wide range of data science methodologies, machine learning algorithms, and statistical techniques.

- Excellent communication skills, with the ability to present clearly, articulate ideas, tell compelling data stories, and navigate complex client situations.

- Provide effective mentorship to team members, leveraging expertise in relevant industry, domain, or functional areas.

Compensation :

Estimated Pay Range :

- Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.