Data Scientist, Machine Learning
Data Scientist, Machine Learning
trinity life sciencesFresher
- Posted a day ago
- Over 50 applicants have applied
Job Description
Roles & Responsibilities
- Conduct simple and advanced data analysis to help clients make good business decisions
- Work with project leadership to define project scope and manage end to end implementation
- Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems.
- Develop new statistical models as well as provide analysis using existing models.
- Maintain the highest standards to follow the best practices and trending analytics in pharma domain
- Work with internal business teams to understand problem statement, requirements and use cases
- Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS
- Experience in tools like Pyspark, SQl, Big Query
- Ability to create a model & simulation tool from scratch
- Should be comfortable interacting and managing stakeholders both external and internal
- Should be good in project management and ensuring timelines and quality is met
More Info
About Company
Skills:
Logistic Regression, Cluster Analysis, Predictive Modelling, Random Forest, Python, Multivariate regression models, R, Ada-Boost, Statistical Machine Learning, Statistical tools and techniques
Skills:
probability , Hypothesis Testing, Clustering, Sql, Numpy, Pandas, Python, Scikit-learn, Statistics, Regression, Predictive models, Experimental Design, Classification, Model evaluation
Skills:
Machine Learning, Hadoop, SAS, Sql, Hive, Spark, Spss, Matlab, Python, Map-reduce, R, S-PLUS
Skills:
snowflake , Large Language Models (LLMs), Machine Learning, Tensorflow, Numpy, Pytorch, XGBoost, Python, Artificial Intelligence, Power Bi, Clustering, Sql, Deep Learning, Pandas, Azure, Search ? Match, Two-tower Architectures, Classification, Search ? Match ? Rank, Scikit-learn, Regression, Topic Modeling, Recommendation Systems, Transformer Architectures, CatBoost
Skills:
containerization , Machine Learning, Orchestration, Sql, Deep Learning, Nlp, Python, Computer Vision, Generative AI, LLMs, Neural Network Architectures, Prompt Engineering