Sr. Data Scientist

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.