Data Scientist (only pharma domain candidates apply)

We’re Hiring : Data Scientist at Chryselys

Location : Hyderabad (Hybrid)

About Us :

Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are :

People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.

Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.

Technology - Our solutions are Business centric built on cloud native technologies.

Key Responsibilities :

• Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
• Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
• Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
• Collaborate with cross-functional teams to translate business problems into data science solutions.
• Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
• Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
• Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.

What You Bring :

§ Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.

§ Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks / SageMaker.

§ Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.

§ Strong analytical skills, with experience in hypothesis testing, A / B testing, and statistical analysis.

§ Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.

§ Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.

§ A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.