Job Title: Data Scientist

Required Experience: 4 - 8 years

Shift timing: 4pm - 1am

Job Location: Pune/Hyderabad/Bengaluru/Gurgaon - Hybrid (3 days WFO/2 days WFH)

Position Overview:

- We are looking for a Data Scientist to join our team and help us turn complex data into actionable business insights.

- The ideal candidate will have a deep understanding of statistical modeling and machine learning, coupled with hands-on experience in the Google Cloud Platform (GCP) ecosystem.

- You will be responsible for building end-to-end ML pipelines - from data ingestion in BigQuery to model deployment and monitoring via Vertex AI.

Key Responsibilities:

- Data Exploration & Strategy: Mine and analyze data from company databases (BigQuery) to drive optimization and improvement of product development, marketing techniques, and business strategies.

- Model Development: Develop custom data models and algorithms to apply to data sets (supervised/unsupervised learning, NLP, computer vision, etc.).

- GCP Implementation: Utilize Vertex AI for training and deploying models at scale.

- Leverage Dataflow or Dataproc for large-scale data processing.

- Collaboration: Coordinate with different functional teams to implement models and monitor outcomes.

- Work closely with Data Engineers to ensure data quality and pipeline efficiency.

- A/B Testing: Design and execute A/B testing frameworks to evaluate model performance and product changes.

- Visualization: Build automated dashboards and reports using Looker or Looker Studio to communicate findings to stakeholders.

Required Technical Skills:

- Programming: Mastery of Python (Scikit-Learn, Pandas, NumPy) and/or R.

- SQL Mastery: Advanced SQL skills, specifically optimized for BigQuery (using standard SQL and ML functions).

- GCP Ecosystem:

1. Vertex AI (AutoML, Training, Pipelines, and Model Registry).

2. BigQuery ML for quick-to-market predictive modeling.

3. Cloud Storage and Cloud Functions for event-driven data tasks.

- MLOps: Familiarity with CI/CD for machine learning (Kubeflow or Vertex AI Pipelines).

- Deep Learning: Experience with TensorFlow or PyTorch (bonus if you've used Google's TPU infrastructure).

- Education: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

- Experience: 3+ years of professional experience as a Data Scientist.

- Certification (Preferred): Google Professional Data Engineer or Professional Machine Learning Engineer certification