Senior Data Scientist
Job Description
- Partner with stakeholders to gather, document, and translate business requirements into functional and technical specifications for data analytics and AIML projects.
- Design and deliver interactive dashboards using Tableau, Power BI, and Looker.
- Write complex SQL queries and use Python/R for data manipulation, analysis, and automation of data pipelines.
- Work alongside data scientists and engineers to support AIML initiatives, including data preparation, feature analysis, and model monitoring.
- Conduct A/B testing, hypothesis testing, KPI development, and trend analysis to validate business strategies and inform decision-making.
- Create and maintain comprehensive documentation (BRDs, FRDs, data mappings, process flows, use cases) using tools like Visio, ADO.
- Utilize cloud platforms (AWS, Azure, Snowflake, BigQuery) to work with structured and unstructured datasets for analytics and ML use cases.
- Advocate for data quality and governance, ensuring clean, reliable data is used in decisioning processes and ML pipelines.
- Participate in Agile formalities and contribute to sprint planning, backlog grooming, and release readiness with cross-functional teams.
- 2 years of experience in Business Analysis, Data Analytics, or a related role.
- Proficiency in SQL, Python (Pandas, Seaborn, Matplotlib), and basic R.
- Strong experience with BI tools (Tableau, Power BI, Looker, Excel).
- Familiarity with AIML concepts and workflows, ability to work alongside data scientists and interpret model results.
- Knowledge of UI/UX principles and experience working with wireframing and collaboration tools like Figma, Visio, Lucidchart.
- Demonstrated experience in requirement gathering, stakeholder management, and documentation (BRD, FRD, UAT).
- Strong understanding of Agile/Scrum methodologies and tools (Jira, Confluence).
- Cloud experience with AWS, Azure, Snowflake, or Google BigQuery.
Partner with stakeholders to gather document and translate business requirements into functional and technical specifications for data analytics and AIML projects
Design and deliver interactive dashboards using Tableau Power BI and Looker enabling realtime visibility into key KPIs and performance metrics
Write complex SQL queries and use PythonR for data manipulation analysis and automation of data pipelines
Work alongside data scientists and engineers to support AIML initiatives including data preparation feature analysis and model monitoring
Conduct AB testing hypothesis testing KPI development and trend analysis to validate business strategies and inform decisionmaking
Create and maintain comprehensive documentation BRDs FRDs data mappings process flows use cases using tools like Visio ADO
Utilize cloud platforms AWS Azure Snowflake BigQuery to work with structured and unstructured datasets for analytics and ML use cases
Advocate for data quality and governance ensuring clean reliable data is used in decisioning processes and ML pipelines
Participate in Agile formalities and contribute to sprint planning backlog grooming and release readiness with crossfunctional teams
Required Skills Experience
- 2 years of experience in Business Analysis Data Analytics or a related role
- Proficiency in SQL Python Pandas Seaborn Matplotlib and basic R
- Strong experience with BI tools Tableau Power BI Looker Excel
- Familiarity with AIML concepts and workflows ability to work alongside data scientists and interpret model results
- Knowledge of UIUX principles and experience working with wireframing and collaboration tools like Figma Visio Lucidchart
- Demonstrated experience in requirement gathering stakeholder management and documentation BRDFRDUAT
- Strong understanding of AgileScrum methodologies and tools Jira Confluence
- Cloud experience with AWS Azure Snowflake or Google BigQuery
