Data Scientist - R/Numpy/Pandas (6-13 yrs)

Overview :

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving 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.

Qualifications :

- 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).

Technical Skills :

- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch.

- Experience of leading a team and handling projects with end-to-end ownership is a must

- Deep understanding of ML and Deep Learning is a must

- Basis NLP experience is highly valuable.

- Pyspark experience is highly valuable.

- 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

Business Acumen

- 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