Chryselys - Consultant - Data Science

Description : Were Hiring : Consultant 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 Consultant 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 (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 : 5-7 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)