Senior Data Scientist

Summary

Join Yembo as a Data Scientist to lead the transformation of raw data into a strategic asset. You will build a reliable data infrastructure, implement a self-service BI tool, and deliver data-driven insights to accelerate Product, Sales, and Customer Success efforts. Success requires deep technical skills, analytical problem-solving abilities, and strong communication. By structuring and making data accessible, you will unlock critical insights, improve operational efficiency, and empower data-informed decision-making. This role is ideal for those passionate about data architecture, democratization, and solving customer pain points through automation. You will have a direct impact on the overall company success. The position offers a competitive salary and comprehensive benefits.

Requirements

• 3-5+ years in a data-focused role, with demonstrable experience in both data engineering and data science
• Direct or related technical experience: Expert proficiency in SQL and relational database design
• Strong proficiency in Python for data manipulation (Pandas, NumPy) and scripting
• Hands-on experience building and maintaining ETL/ELT pipelines
• Experience with NoSQL databases, specifically MongoDB
• Experience with at least one major BI platform (Looker, Tableau, Power BI, etc.)
• Excellent communication skills; able to translate technical concepts to non-technical audiences
• Strong problem-solving ability and a self-starter attitude
• Pragmatic and results-oriented, with a focus on delivering business value
• Willing to work US business hours
• Occasional but infrequent travel

Responsibilities

• Design, build, and maintain a series of relational databases that sit on top of our MongoDB data lake
• Develop robust, automated, and scalable ETL/ELT pipelines to extract data from Mongo, transform it, and load it into the new relational databases
• Ensure data quality, integrity, and consistency, establishing a "single source of truth" for key business metrics
• Document the data models, schemas, and pipeline processes for company-wide understanding
• Collaborate with the Engineering team to lead the evaluation, selection, and implementation of a modern BI tool (e.g., Looker, Tableau, Metabase)
• Connect the BI tool to the newly created relational databases
• Build and maintain a core set of foundational dashboards and reports for company-wide use
• Train and empower business users across the company to self-serve their own data requests and create their own analyses
• Act as the primary point of contact for data analysis requests from across the organization
• Support Product by analyzing feature adoption, user behavior, and the impact of product launches
• Support Customer Success by providing data and insights for customer-facing QBRs
• Support Sales and Marketing with data for lead scoring, market segmentation, and performance analysis
• Translate complex analytical findings into clear, actionable recommendations for business stakeholders

Preferred Qualifications

• Experience with workflow orchestration tools (e.g., Airflow, Prefect, dbt)
• Familiarity with cloud data warehousing (BigQuery, Redshift, Snowflake)
• Experience with statistical analysis and modeling

Benefits

• 100% Employer Covered Health Care Plan for you and your family (Medical, Dental & Vision)
• Retirement Plan (We offer a 401k with 4% company match)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Unlimited Flex PTO, Flexible Sick Leave & 11 National Holidays)
• Parental Leave for both caregivers
• Annual Events & Meetups
• Work From Home (Fully Remote Team)
• Stock Option Plan
• Learning & Development Opportunities