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Yen Digital - Data Scientist - R/Python

Yendigital Technologies Private Limited
Anywhere in India/Multiple Locations
5 - 10 Years
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4.2white-divider19+ Reviews

Posted on: 11/08/2025

Job Description

Company Overview :


YenDigital is people-focused team of professionals committed to build strong, prosperous, long-lasting relationships. We invest to create lifetime experiences. We specialize in providing innovative and reliable software solutions for businesses of all sizes. We are dedicated to helping businesses reach their full potential through the power of technology. Our goal is to give our employees excellent career possibilities, professional development, and personal contentment. Our people are always willing to go the extra mile to ensure customer delight.


Why Join Us ?


If you love hands-on development and problem solving, this assignment will be an enriching client-facing experience.


Job Description : Data Scientist


Position : Data Scientist


Type of Employment : Contract


Duration of Contract : 2 Months (Extendable)


Work Mode : Remote


Shift : US Shift (4 PM 12 AM IST)


Experience : 6+ Years


We are looking for a Data Scientist with 6-10 years of experience with good experience in the Pharma domain.


Responsibilities :

- Develop statistical models and machine learning algorithms to extract meaningful insights and support data-driven decision-making.

- Design and execute data analysis frameworks to support drug lifecycle management, market access strategies, and real-world evidence generation.

- Collaborate with business stakeholders, data engineers, and product managers to translate analytical findings into actionable strategies.

- Build and maintain robust data pipelines and ensure integrity and validation of datasets.

- Create dashboards and visualizations using tools like Power BI, Tableau, or Python-based libraries (e.g., Plotly, Seaborn).

- Apply predictive modeling and NLP techniques to derive insights from unstructured sources


Requirements :


- Bachelors or Masters degree in Data Science, Computer Science

- Experience with EDA, Data Cleansing, Data Lakes etc, synthetic data generation, training and

fine-tuning of models

- Hands-on work with tools such as Python, Pandas, Pytorch, SQL, Databricks and platforms like AWS, Azure, or GCP.


- Familiarity with HIPAA compliance and pharma domain.

- Experience with ETL workflows, and analytics delivery in a controlled environment.


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