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.