Profile
- Previous experience in building data science based products is big advantage.
- Experience in handling healthcare data is desired.
Educational Qualification
Bachelors / Masters in computer science or related subjects from reputable institutionTypical
Experience
3-5 years experience of industry experience in developing data science models and solutions.Able to quickly pick up new programming languages, technologies, and frameworksStrong understanding of data structures and algorithmsAbility to work in a start-up environment with a do it yourself attitude.Skill and Expertise
Expert level proficiency in programming language Python / SQL.Working knowledge of Relational SQL and NoSQL databases, including Postgres, RedshiftExposure to open source tools & working on cloud platforms like AWS and Azure and being able to use their tools like Athena, Sagemaker, machine learning libraries is an added advantageExposure to big data processing technologies like Pyspark, SparkSQL added advantageExposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering is added advantageExposure to visualization tools like Tableau, PowerBI is an added advantagePrimary
Responsibility
As a senior analyst the individual will be providing technical expertise to the teamShould be expert in all phases of model development (EDA, Hypothesis, Feature creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation and Deployment)Is expected to participate and lead discussions during the solution design phase.Should have deep understanding of statistical & machine learning methods ((logistic regression, SVM, decision tree, random forest, neural network), Regression (linear regression, decision tree, random forest, neural network), Classical optimisation (gradient descent etc),Must have thorough mathematical knowledge of correlation / causation, classification, recommenders, probability, stochastic processes, NLP, and how to implement them to a business problem.Expected to gain business understanding in health care domain order to come up with relevant analytics use cases. (E.g. HEOR / RWE / Survival modelling)Familiarity with NLP, Sentiment analysis, text mining , data scraping solutions.Don't meet every job requirement That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Skills Required
Logistic Regression, Sql, Tableau, Svm, Decision Tree, Postgres, Pyspark, Aws, Random Forest, Powerbi, Data Scraping, Sparksql, Sentiment Analysis, Python, Azure, Neural Network, Nlp, Text Mining, Redshift