This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is remote but you must live in the area.

Please submit your resume and send to recruiters@vsearchgroup.com if you are interested. Thank you!

Overview

The Lead Data Scientist serves as a strategic analytics partner to the organization, acting as an internal consultant to help improve operational efficiency, reduce costs and errors, and drive better decision-making through data. This role focuses on solving complex business problems by applying statistical analysis, data exploration, and clear communication across multiple departments.

Key Responsibilities

1. Partner with business stakeholders to identify, frame, and solve data-driven business problems
2. Analyze scenarios such as process optimization, cycle time reduction, and operational efficiency
3. Extract and query data from relational databases using SQL
4. Analyze and interpret data using tools such as Python, R, and spreadsheets
5. Identify trends, patterns, and root causes; evaluate statistical significance and business impact
6. Create clear and effective data visualizations using business intelligence tools
7. Collaborate closely with data engineers to validate data sources and implement solutions
8. Present findings to stakeholders, confirming, refuting, or refining hypotheses
9. Translate analytical insights into actionable recommendations
10. Adapt analytical approaches as new insights emerge or project requirements evolve
11. Communicate progress, trade-offs, and changes in scope clearly to non-technical audiences

Required Qualifications

1. Strong foundation in statistics, data analysis, and analytical problem-solving
2. Demonstrated experience owning end-to-end analytical projects, including:
3. Data extraction
4. Data analysis
5. Pattern and trend identification
6. Statistical validation
7. Insight delivery to business stakeholders
8. Advanced proficiency in SQL
9. Proficiency in at least one analytical programming language (Python or R required)
10. Experience using data visualization or dashboarding tools
11. Strong verbal and written communication skills, with the ability to explain technical findings to non-technical audiences
12. Flexibility and adaptability when analytical approaches or deliverables need to change

Preferred Experience

1. Experience working in Agile or iterative development environments
2. Familiarity with sprint-based workflows, stand-ups, and delivery timelines
3. Experience collaborating cross-functionally with engineering, product, or operations teams

Core Competencies

1. Analytical thinking and curiosity
2. Clear, concise communication
3. Stakeholder partnership and influence
4. Creativity in problem-solving approaches
5. Ability to manage multiple priorities and meet deadlines

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