Sr. Data Scientist

5-7 years as Data Scientist
Responsibilities Use statistical and machine learning techniques to develop GenAI (LLM,

Agents, RAG), Predictive models, algorithms, and data products.
Work with complex data sets to extract insights and develop actionable
recommendations for business stakeholders.
Design, develop and implement machine learning pipelines and production-
ready systems that manage high traffic and real-time data.
Design and implement predictive models to support business decisions and
enhance operational efficiencies.
Collaborate with cross-functional teams to integrate data science models into
business systems and applications.
Define and execute data strategies that align with business objectives and ensure
data integrity, quality, and governance.
Collaborate multiple teams to design robust data pipelines, ensuring seamless
integration and transformation of data from various sources.
Lead team of data scientists and coordinate with business stakeholders with
ownership on committed deliverables.

Create and maintain documentation on data science models, algorithms, and
pipelines.
Keep up to date with the latest developments in machine learning, data science,
and related fields and apply them to business problems as needed.
Utilize deep domain knowledge to understand business needs and translate them
into data-driven solutions.
Sharing of knowledge and best practices among team members.
Develop natural language processing, text understanding, classification, pattern
recognition, recommendation, targeting, ranking, or similar systems.
Troubleshoot and solve issues with data pipelines, machine learning models,
and data systems.
Develop and maintain APIs for model deployment.
Foster a culture of continuous learning and improvement, staying abreast of
advancements in data science methodologies and tools.
Evaluate and implement modern technologies and techniques to enhance the
efficiency and effectiveness of data analysis processes.