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.
(ref:hirist.tech)
