Data Scientist

Ovii's Interpretation of the Role

Gradera seeks a Data Scientist to turn complex, real‑world data into actionable insights and production‑ready machine‑learning models. The role spans the full data lifecycle, partnering with engineering and business teams to build analytical datasets, run experiments, and deliver self‑service analytics tools.

Role Snapshot

• End‑to‑end data science
• ML model development & deployment
• Statistical analysis & experimentation
• Data profiling & quality assurance
• Collaboration with data engineering

Must-Have Requirements

• Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow)
• R
• SQL (DB2, SQL Server)
• Databricks
• Azure or AWS
• Snowflake or Redshift
• MLflow / Kubeflow / Airflow
• Kafka or Spark
• Probability, statistics, linear algebra, experimental design
• experience with messy real‑world data
• experience with large‑scale data platforms
• experience applying statistical techniques

Nice-to-Have Signals

• Deep learning, NLP, computer vision, Bayesian methods
• Real‑time or streaming data pipelines
• experience with deep learning, NLP, computer vision
• experience with Bayesian methods

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Collect, clean, and profile large structured and unstructured datasets
• Perform exploratory data analysis and assess data quality and lineage
• Build, train, and deploy regression, classification, clustering, NLP, and time‑series models
• Design and evaluate A/B experiments using causal inference techniques
• Create production‑ready code, data pipelines, and feature stores with data engineers
• Monitor models in production using MLOps best practices
• Develop dashboards and self‑serve analytics tools for stakeholders

Good Fit If You Have

• Curiosity for unfamiliar data and ability to ask the right questions
• Comfort working with messy, incomplete real‑world datasets
• Strong statistical reasoning and experimental design mindset