HR at Axtria India Pvt Ltd
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Axtria - Patient Analytics & Model Building Role (6-11 yrs)
We are looking for professionals for our Data Science team to join us in our Noida/Hyderabad/Pune/Bangalore office.
ROLES AND RESPONSIBILITIES:
- Collaborate with stakeholders to understand business objectives and requirements for predictive modeling projects.
- Design and develop statistical models and algorithms to predict and analyze key business metrics and trends
- Ability to clean, preprocess, and transform large datasets to prepare them for model development.
- Conduct exploratory data analysis to identify patterns, trends, and relationships in the data.
- Select and apply appropriate modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, deep learning algorithms etc.
- Validate and refine models using various evaluation techniques, including cross-validation, hypothesis testing, and performance metrics.
- Interpret model results and present findings to technical and non-technical stakeholders in a clear and concise manner.
- Collaborate with data engineers to ensure seamless integration of models into production systems.
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, or a related discipline.
- Understanding of Patient data/ Claims data/ Patient Analytics is highly desirable
- Proven experience in developing and implementing predictive models in a professional setting.
- Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining, NLP, social network analysis, etc.
- Proficiency in programming languages such as PySpark or R or Python.
- Solid understanding of database systems and SQL for data retrieval and manipulation.
- Strong problem-solving and analytical skills, with the ability to translate business requirements into actionable models.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.