- Design and execute statistical analysis, modelling, and simulation efforts for clients that lead to actionable decisions affecting operations.

- Analyze data sets to summarize, identify trends, predict future states, and characterize uncertainty.

- Author complex written products documenting study results.

- Apply analytical approaches using statistical programming languages, including Python, and R.

- Work closely with teammates from non-mathematical disciplines to ensure that operational strategies are considered in the context of applying statistical theory.

- Use statistical theory on modelling, simulation, and data analysis to deliver measurable improvements to organizational policies and programs.

Responsibilities :

- Engage in data mining, algorithm development, statistical analysis, regression, and machinelearning initiatives

- As part of ongoing work and interaction with the broader team, identify new opportunities to use modelling and advanced analytics to drive business value

- High Proficiency in SQL

- Expertise in applied statistics.

- Able to translate business objectives into actionable analyses.

- Able to communicate findings clearly to both technical and non-technical audiences

- Expertise in Python for ML model development.

- Experience with machine learning & Deep learning algorithms and predictive analytics

- Natural curiosity to enjoy diving deep into the material to find answers to yet unknown questions.

- Demonstrated ability to perform comfortably in a fast-paced work environment Education,

Skills and Abilities Required for Consideration :

- Sound experience in using statistical and data mining techniques to solve real business problems

- Having skills on Python for ML model Development

- Passion for problem-solving, developing creative solutions, and continuous learning.

- 2-3 years + ML/ Data science Experience

- Good to have : Having worked on connected device. Having Idea on Clustering etc

Preferred : Deep Learning with Pytorch or TensorFLow