Chryselys - Senior Associate - Data Science

Description : Were Hiring : Senior Associate Insights & Analytics at Chryselys.

Location : Hyderabad.

Department : Insights & Analytics.

Job Type : Full-time.

Reports To : Manager.

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.

Role Overview :

As a Data Scientist Senior Associate at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries.

You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.

Key Responsibilities :

- Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets in global markets 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.