Must have skills required :
Pyspark, Python, Databricks, MLFlow, Pytorch, TensorFlow
Good to have skills :
AWS Sagemaker, Azure ML, Healthcare Industry, MosaicML
Inferenz (One of Uplers' Clients) is Looking for :
Sr. Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
Role Overview Description
We are looking for an experienced and results-driven Sr. Data Scientist with 5+ years of professional experience to join our data team. You will be responsible for analyzing large datasets, building predictive models, and providing actionable insights that drive strategic decision-making. This is an exciting opportunity to make a real impact by applying machine learning, statistical analysis, and business intelligence in a fast-paced environment.
Responsibilities :
- Extract insights & build models to understand / predict Key metrices
- Work closely with stakeholders to identify business challenges and translate them into data science problems.
- Collect, clean, and preprocess structured and unstructured data from various sources.
- Focuses on Research Analysis, model development.
- Building models (regression, classification, clustering. Etc.) validate and deploy machine learning models to solve real-world business problems.
- Perform statistical analysis and generate data-driven insights and recommendations.
- Collaborate with engineering and product teams to implement data solutions.
- Automate monitoring model performance and retraining.
Requirements :
Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field.5+ years of experience in a data science or machine learning role.Strong Python (PySpark, pandas, scikit-learn, TensorFlow / PyTorch).Hands-on with MLflow for model tracking & deployment.Expertise in Databricks for scalable ML workflows.Expertise in handling data issues including data gaps, duplicates, data drifts etc.Strong SQL skills and experience working with large databases.Solid understanding of statistical modelling, A / B testing, and predictive analytics.Strong grasp of supervised / unsupervised learning, deep learning, and optimization techniques.Experience with A / B testing and model performance monitoring.Experience with cloud platforms (AWS, GCP, or Azure) and working knowledge of MLOps is a plus.Excellent problem-solving skills, communication skills, and attention to detail.Experience deploying models to production using CI / CD pipelines.Preferred Skills (Good to Have)
MosaicML / Azure ML / AWS Sagemaker experience is plus. Healthcare Industry-specific experience.
Healthcare Industry-specific experience.
Skills Required
Testing, Databricks, Sql, Communication Skills, Aws