Lead Data Scientist

For one of our clients

Ideal qualifications, skills and experiences we are looking for are:

- Drive business outcomes through the power of data analytics and insights.

- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.

- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.

- Minimum of 6 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams.

Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.

- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.

- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).

Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings).

- Deep understanding of machine learning algorithms, model evaluation, and feature engineering.

Experience with frameworks like scikit-learn, TensorFlow, or Py torch.

1. Experience of leading a team and handling projects with end-to-end ownership is a must
2. Deep understanding of ML and Deep Learning is a must
3. Basis NLP experience is highly valuable.
4. Pyspark experience is highly valuable.
5. Competitive coding experience (LeetCode) is highly valuable.

- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.

- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)

- Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance

- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.

- Excellent verbal and written communication skills

- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.

- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.