Job Application for Senior Analyst, Research Analytics at Inizio

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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 institution
Typical 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 frameworks • Strong understanding of data structures and algorithms • Ability 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, Redshift • Exposure 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 advantage • Exposure to big data processing technologies like Pyspark, SparkSQL added advantage • Exposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering is added advantage • Exposure to visualization tools like Tableau, PowerBI is an added advantage
Primary Responsibility	· As a senior analyst the individual will be providing technical expertise to the team · Should 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. - Experience with complex dashboarding and visualization using tools like tableau, Power BI etc

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 institution

Typical

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 frameworks

• Strong understanding of data structures and algorithms

• Ability 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, Redshift

• Exposure 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 advantage

• Exposure to big data processing technologies like Pyspark, SparkSQL added advantage

• Exposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering is added advantage

• Exposure to visualization tools like Tableau, PowerBI is an added advantage

Primary

Responsibility

· As a senior analyst the individual will be providing technical expertise to the team

· Should 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.

- Experience with complex dashboarding and visualization using tools like tableau, Power BI etc

Don't meet every job requirement? That's okay! Our company is dedicated to building an 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.

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Senior Analyst, Research Analytics

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