Sr. Data Scientist

Experience: 5.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid (Pune)

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Inferenz)

(*Note: This is a requirement for one of Uplers' client - Inferenz)

What do you need for this opportunity?

Must have skills required:

AWS Sagemaker, Azure ML, Healthcare Industry, MosaicML, Pyspark, Python, Databricks, MLFlow, Pytorch, TensorFlow

Inferenz is Looking for:

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.
  
  
  

Interview Process:

• First Technical Round - AD-Solution Architect
• Second Techno/Managerial Round - Myself
• Third Techno/Managerial Round - CEO
• Final Culture Round - MD
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!