Senior data scientist

Job description:

·         Primary role is to analyze data and build machine learning models using Google Cloud Platform services like vertex ai and bigquery. Lead a team of data scientists, guide and monitor for efficiency and productivity

·         Key responsibilities include the end-to-end project lifecycle, from defining business problems and collecting data to deploying and monitoring models, while collaborating with data engineers and business stakeholders to drive data-driven decisions.

·         Data analysis and visualization: Analyze large datasets to identify trends, patterns, and insights. Create data visualizations and reports to communicate findings to stakeholders.

·         Model development: Design, develop, and implement advanced statistical and machine learning models for tasks like forecasting, classification, and optimization using Google Cloud Platform tools and services.

·         Data pipeline and workflow management: collaborate with data engineers to design and optimize data pipelines, and build their own data processing, transformation, and analysis pipelines.

·         Model deployment and monitoring: Deploy machine learning models into production environments on Google Cloud Platform and continuously monitor their performance

·         Extensive, hands-on experience of working on challenging AI/ML PROJECTS in an industry setting, from ideation to deployment

·         Highly proficient in programming (Python, Sql) and expert user of various AI/ML frameworks (scikit-learn, tensorflow, pytorch etc.) - it's a 100% hands-on role

·         Strong knowledge of ml foundations, transformers, llm architecture, prompting and fine tuning of llms

·         8+ years of experience in data science and machine learning algorithms, building and deploying models and associated with entire lifecycle of model analysis/building/deployment/assessment. Must have worked on 2/3 production projects as a data scientist

·         3+ years of a tech or ds lead role leading programs and/or technical teams

·         Good hands-on experience with vertex AI, ML models, vector databases, rag.

·         Experience working with business and key stakeholders to understand model requirements and build accordingly

·         Strong commitment to work and ownership

·         Demonstrable impact of work on the business bottomline (money saved, efficiency gain, better security etc.)

·         Familiarity with at least one public cloud services (Google Cloud Platform, AWS, AZURE), preference will be given to Google Cloud Platform and vertex AI

·         Design, development and deployment of ml pipelines in the cloud

·         Experience with mlops and operationalizing models in production, lifecycle management of models

·         Data governance: Adhere to data security and compliance standards. 

Behavioral skills:

·         Strong analytical and problem-solving skills

·         Fast learner and adopter of new technologies

·         Open to feedback and willing to work on it

·         A team player, willing to wear different hats as the situation demands

·         Knows how to collaborate with various stakeholders, understands their requirements and translates it for the team

·         Strong communicator, within and outside the team