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Data Scientist
InfoCentricData Scientist focusing on delivering data-driven insights, experimentation, and measurement initiatives for marketing and business functions. Collaborating with cross-functional teams within a large enterprise environment.
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Delivering data-driven insights, experimentation, and measurement initiatives across marketing and business functions.
- Work closely with cross-functional teams, including analytics, data engineering, and business stakeholders, within a large-scale enterprise environment.
Requirements
What you’ll need- Strong hands-on experience with Python and SQL
- Demonstrated expertise in A/B Testing and Causal Inference methods
- Experience working with Azure ML, Snowflake, and Control-M
- Good understanding of Azure methodologies, processes, and cloud-based analytics environments
- Experience using Snowflake as a data source for analytics and Data Science activities
- Understanding of ETL workflows and data pipeline processes
- Exposure to large enterprise environments and working within cross-functional teams
- Ideally, with experience in the retail or e-commerce industries
- Strong communication and stakeholder engagement skills
Benefits
Comp & perks- Quality, accountability and honesty do not need to be flashy, they quietly outperform.
- Healthy, supportive team culture.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLA/B TestingCausal InferenceAzure MLSnowflakeControl-METL workflowsdata pipeline processes
Soft Skills
communicationstakeholder engagement