Overview
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:
· Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
· Experience: 2-5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
· Skills:
§ 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.
