Data Scientist

VySystems
Greater Bengaluru Area

🚀 We’re Hiring: Data Science & Machine Learning Engineer – US Healthcare Payer

🔹 Job Summary

We are looking for an experienced Data Science & Machine Learning Engineer with strong expertise in Python, SQL, DBT, machine learning, and deep learning technologies. The candidate will develop end-to-end ML solutions, including data transformation, model development, deployment, and monitoring. Experience in the US Healthcare Payer domain is strongly preferred.

🔹 Experience: 12Years (Strictly no profiles below 12 years)

📍 Location: Bangalore

🏢 Work Model: Work From Office – 5 Days

🕘 Working Hours: 9:00 AM – 5:00 PM IST

🔹 Key Responsibilities

Develop and maintain data transformation pipelines using DBT and SQL.

Build, train, and deploy machine learning models using Python, TensorFlow, and PyTorch.

Develop end-to-end ML solutions covering data ingestion, processing, deployment, and monitoring.

Integrate and fine-tune LLMs using Hugging Face.

Build cloud-based ML training and inference pipelines using Amazon SageMaker.

Collaborate with product and engineering teams to deliver scalable data science solutions.

🔹 Mandatory Skills

Strong hands-on experience in Python, Pandas, NumPy, and Scikit-Learn.

Advanced proficiency in DBT and complex SQL queries.

Experience with TensorFlow and PyTorch.

Strong knowledge of Hugging Face and LLM integration/fine-tuning.

Experience with Amazon SageMaker for ML model training and deployment.

Database experience with PostgreSQL and MySQL.

End-to-end ML engineering experience, including model deployment and monitoring.

📌 Resume Note: Please ensure all mandatory skills are clearly mentioned in your resume to avoid rejection during the screening process.

🔹 Good to Have

US Healthcare Payer domain experience, including payer data models and claims processing.

Neo4j and graph databases.

Linux, shell scripting, and Docker.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

📋 Candidate Details Required

Please share the below details along with your updated resume:

Total Experience:

Relevant Experience in Data Science / ML Engineering:

Relevant Experience in Python:

US Healthcare Payer Experience:

Current CTC:

Expected CTC:

Current Location:

Notice Period (LWD):

📩 Interested candidates can share their profiles

Email: varsha@vysystems.com

Phone: +91 9150014693

LinkedIn: https://www.linkedin.com/in/varsha-kothandaraman

📌 Important Notes:

Strictly no profiles below 8 years of experience.

Bangalore candidates must be willing to work from office 5 days a week.

Strong communication skills are mandatory.

PF throughout the career is mandatory, and all proper employment and educational documents are required.

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Questions about this job

How do I apply for the Data Scientist job at VySystems?

Use the apply link on this page: you apply directly with VySystems on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does VySystems want for this Data Scientist role?

The job description asks for Python, SQL, DBT, machine learning, deep learning, Pandas, NumPy and Scikit-Learn. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at VySystems?

Apply to the VySystems roles that match your experience, and tailor your resume to each job description: for this role that means showing Python, SQL, DBT. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Scientist job remote or onsite?

This is based in Greater Bengaluru Area.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with VySystems, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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