Data Scientist, Machine Learning
- Posted 11 hours ago
- Be among the first 20 applicants
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:
probability , Machine Learning, Python, Computer Vision, World Models, LLMs, VLMs, Statistics, multimodal knowledge-graph reasoning
Skills:
Numpy, Scipy, Jax, Pytorch, Python, Hugging Face Transformers, Hugging Face Tokenizers, llama.cpp, SGLang, vLLM
Skills:
Java, Hive, Hadoop, Python, Sql, Operations Research
Skills:
Java, Machine Learning, Hive, Scala, Spark, Python, Sql, Deep Learning, Supervised and Unsupervised Machine Learning Algorithms, Statistics
Skills:
Logistic Regression, Predictive Modelling, Random Forest, Cluster Analysis, Python, R, Ada-Boost, Statistical Machine Learning