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12/09 Anjana Bharti
HR at Axtria India Pvt Ltd

Views:994 Applications:263 Rec. Actions:Recruiter Actions:177

Axtria - Patient Analytics & Model Building Role (6-11 yrs)

Noida/UP/Hyderabad/Telangana/Pune/Maharashtra/Bangalore/Karnataka/Secunderabad Job Code: 1313193

Job description:

We are looking for professionals for our Data Science team to join us in our Noida/Hyderabad/Pune/Bangalore office.


- 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.

Women-friendly workplace:

Maternity and Paternity Benefits

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