Description

You will lead data science initiatives from acquisition through production deployment.

Responsibilities

• Lead data acquisition, ensuring proper formatting and description while adhering to privacy policies.
• Develop and articulate data-driven strategies based on business priorities, leading conversations with stakeholders.
• Create models, conduct experiments, and analyze results using ML tools, evaluating methodology and performance.
• Drive operational excellence for model deployment, covering performance, scalability, and integration into production systems.
• Mentor team members on data cleaning, analysis best practices, and model validation.

Required Skills

• 7+ years of experience in data science managing structured and unstructured data or related field.
• 3+ years of experience in programming languages such as Python or R.
• Experience with query languages including SQL and KQL.
• Experience utilizing data manipulation tools such as Spark and Airflow.
• Proficiency in applying statistical techniques and modeling techniques.
• Ability to write efficient, readable, and extensible code across multiple features.
• Experience identifying data gaps and onboarding new data sets from production or third-party sources.

Key Skills

Education

Any Graduate