Job Level
Mid-LevelSenior
Tech Stack
AzurePythonSQL
About the role
- Data collation, processing, cleaning & transformation along with feature engineering and model development.
- Hands-on with model training, evaluation & fine tuning.
- Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
- Actively own & manage client deliverables.
- Effectively engage with client & translate client business requirements into equivalent analytical problems.
- Understand data and different platforms used by the client.
- Actively contribute towards design methodology for problem solving.
- Analyze large & complex data sets to derive valuable insights.
Requirements
- Bachelor's/Master's in any stream 5-8 years
Benefits
- Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation
- Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling), NLP
- Proficient in tools / languages like SQL, Python, MS Excel, and Visualization basics
- Good understanding of Probability & Statistics
- Hands-on experience in Azure is a plus
- Good communication skills
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data collationdata processingdata cleaningdata transformationfeature engineeringmodel developmentmodel trainingmodel evaluationmodel fine tuningdata analysis
Soft skills
client engagementproblem solvingcommunicationproject managementanalytical thinking
Certifications
Bachelor's degreeMaster's degree