About AspectRatio Pvt. Ltd.:
Aspect Ratio was founded over two decades ago with a simple goalprovide tailored and transparent analytics and data-driven solutions to empower decision-making. Through the intelligent use of analytics, we have helped companies worldwide achieve operational efficiencies by creating automated data management solutions integrated within their existing systems.
Aspect Ratio is rapidly expanding in the space of Analytics & Data Science and we're looking for experienced candidates to be part of our team. The position requires you to be comfortable working with large datasets and in-depth understanding of machine learning algorithms.
Qualification: 4-year Engineering degree. An MBA or any specialized coursework in Data Science is a plus.
Experience Requirements:
- Minimum 5 years of experience working with large datasets using SQL and designing machine learning solutions using Python/R.
- Work experience in Pharma/Healthcare is mandatory.
- Experience in advanced machine learning algorithms is mandatory.
- Knowledge of Patient level data sets (Claims, EMR, etc.) will be advantageous.
Skills required:
- Expertise in Data Science algorithms - in-depth understanding of the math behind the algorithm
- Expertise in Python or R, SQL, SageMaker, Databricks, PySpark
- Excellent storyboarding skills to present findings to C-Suite executives
- Familiarity with various data science algorithms including regression, random forest, XGBoost, time series, and simulation.
- Understanding and experience in applying less widely used algorithms such as PU learning, one-class SVM, association mining, and Prophet time series model.
Responsibilities of the individual include:
- Effectively lead a team of analysts to meet a client's analytical requirements.
- Structure an ambiguous business problem and devise a mathematical and/or programming solution.
- Execute the solution in the best possible tool or platform.
- Dive deep into data, analyze and discover patterns/root causes.
- Design robust and scalable prediction algorithms
Areas of delivery for the team include:
- Connect with clients to understand their Data Science needs.
- Use transaction-level datasets to answer business questions.
- Create PowerPoint presentations to communicate findings & recommendations to senior leadership teams.
- Build predictive models to drive business decisions.
- Present results to clients and get buy-in
