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Data Science Manager
Putnam Associates
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Team Leadership: Oversee and mentor a team of data scientists, fostering professional growth and productivity.
- Data Strategy: Develop and implement a comprehensive data science strategy aligned with business goals.
- Algorithm Development: Design, develop, and deploy advanced data science algorithms to tackle complex challenges.
- Model Development: Expertly handle all phases of model development including EDA, hypothesis testing, feature engineering, dimensionality reduction, data cleaning, model training, selection, validation, and deployment.
- Stakeholder Engagement: Collaborate with stakeholders to understand business needs and communicate data insights effectively.
- Innovation: Foster a culture of innovation by exploring emerging data science technologies and trends, including generative AI applications.
- Healthcare Data Analysis: Analyze structured and unstructured healthcare data to generate actionable insights and develop new use cases.
- Cloud Platform Utilization: Build scalable data solutions using cloud platforms like AWS and Azure.
Technical Skills:
- Proficiency in at least one statistical programming language (Python or R).
- Strong working knowledge of SQL and NoSQL databases (e.g., Postgres, Redshift, MongoDB).
- Experience with cloud platforms and tools such as AWS, Azure, Athena, and Sagemaker.
- Familiarity with big data processing technologies like Spark and MapReduce.
- Competence in data visualization tools like Tableau, Power BI, and d3.js.
- Experience with NLP, sentiment analysis, and text mining is advantageous.
Profile Requirements:
- Education: Master s degree or PhD in Computer Science, Data Science, Statistics, or a related field.
- Experience: 5-7 years in data science, focusing on algorithm development and implementation.
- Healthcare Domain Expertise: Experience handling healthcare data (Claims, Trials, RWE) is preferred.
- Leadership: Demonstrated ability to lead and inspire a team of data scientists.
- Technical Adaptability: Ability to quickly pick up new programming languages, technologies, and frameworks.
- Problem-Solving Skills: Strong mathematical foundation and understanding of statistical and machine learning methods, such as logistic regression, SVM, decision trees, random forests, neural networks, and classical optimization techniques.
- Cloud Platform Expertise: Proven ability to build and deploy scalable solutions using cloud technologies (e.g., AWS, Azure).
- Generative AI Knowledge: Deep understanding of generative AI applications and its potential for driving business value.
Preferred Skills:
- Experience in the pharmaceutical or healthcare industry.
- Knowledge of product development methodologies.
- Willingness to learn and adapt to new technologies and trends
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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Project Manager - Health Economic Modelling (HEOR)
4-8 Yrs
Gurgaon / Gurugram
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