Data Scientist

3 - 6 years

5 - 8 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview of Role

As the ideal Data Scientist you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.

As the ideal AI/ML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.

Responsibilities:

  • Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients.
  • Utilize analytical techniques to determine areas of opportunities to help meet business goals.
  • Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client s business problem.
  • Be a thought leader for your team on projects and contribute to key practice initiatives.
  • Act as subject matter expert on pre-sales calls and requests for proposals.
  • Drive successful delivery of analytics solutions.
  • Create reports and presentations that showcase the value of your solution to our clients.
  • Work with other members of the AI/ML team to establish a center of excellence and create standard operating procedures, accelerators, and sales assets.

Qualifications:

  • Bachelor s degree in Data Science, Computer Science or similar.
  • 3-6+ years of experience with data science.
  • Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, Shell Scripting experience.
  • Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, NoSQL DBs, Warehouses
  • Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, LangChain
  • Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, Responsible AI
  • MLOps experience with GIT, building CI/CD Pipelines, API Development, Docker, Deployment, Retraining Pipelines, Monitoring, Model Versioning.
  • Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage.
  • Kubernetes, Looker, Graph Data Science experience is a plus.
  • Ability to communicate complex, technical processes to non-technical business stakeholders.
  • Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.

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Information Technology / Consulting

San Francisco

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