FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and analytics, with proficiency in SQL and Python, while effectively communicating with users to address their needs and provide technical support. Capable of creating technical content and collaborating across teams to enhance user experience and product development.
Highest-signal resume keywords
SQLPythonData Science ToolingAnalytical ThinkingCustomer Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAnalyticsSQLPythonJupyter NotebooksBI ToolsTechnical Content CreationProblem SolvingUse Case DevelopmentBug Identification
Soft Skills
Excellent CommunicationEmpathyRelationship BuildingTeamworkCuriosity
Tools & Technologies
ETLStorageBIMachine Learning
Industry Keywords
User-Facing Technical CapacityCustomer SupportTechnical FeedbackProduct DevelopmentTechnical Documentation
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Serve as a primary contact for technical questions and use case development throughout the user lifecycle
- Provide customer support via chat, email, and Slack
- Develop an understanding of different Hex user needs and anticipate future questions
- Create technical content, including demo projects, documentation, and videos
- Identify product weaknesses and common pain points
- Provide feedback and suggestions to the Product team
- Engage analytically technical users to answer questions, teach Hex, and synthesize feedback
- Hunt down and help squash bugs
- Develop creative solutions for complex user workflows
- Collaborate with Sales, Product, and Customer teams
Requirements
What you’ll need- 2+ years of experience as a working data scientist, analyst, or analytics engineer
- Experience using SQL and Python
- Beyond-the-basics experience with data science tooling and workflows, including Python, Jupyter notebooks, SQL, and BI tools
- Analytical thinking ability to troubleshoot complex problems
- Strong track record of talking to customers and solving their problems
- Excellent communication skills, empathy, feedback-sharing, and relationship-building
- High rate of learning and natural curiosity
- Passion for teamwork and willingness to provide honest feedback
- Based in NYC and excited to work in office at least 2 days per week, or based in EST or CT timezones
- Experience in a user-facing technical capacity is a potential fit
- Familiarity with the contemporary data stack across ETL, storage, BI, and ML is a potential fit
- Legally authorized to work in the US
- LinkedIn profile required
- Resume required
- Phone number required
Benefits
Comp & perks- Market-benchmarked salary
- Equity
- Comprehensive health benefits
- Flexible paid time off
