We're looking for an experienced Data Scientist to lead the transformation of our data from a raw storage asset into a strategic one. In this role you will be responsible for building a reliable data infrastructure, implementing a self-service business intelligence (BI) tool, and ultimately delivering the data-driven insights needed to accelerate our Product, Sales, and Customer Success efforts to develop features that continually push the limits of what Yembo's product can do.

To succeed in this role, you must be deeply technical, an analytical problem solver, and a strong communicator able to address technical problems in an effective way. By structuring our data and making it accessible, you will unlock critical insights, improve operational efficiency, and empower every team to make better, faster decisions.

This position is perfect for you if:

You leverage first principles to understand the art of the possible, and love solving customer pain points
You're extremely hands on, technically excellent and exhibit strong communication skills
You’re comfortable working directly with customers in order to best understand and implement workflows
You love to troubleshoot issues
Seeing your impact at scale excites you. You will have a direct impact on the overall company success
You have a passion for making lives easier through automation and clever solutions.

If you are excited about data architecture and democratization, you’re right up our alley!

Key Responsibilities

The successful candidate will be tasked with three primary, sequential functions:

First - Data Architecture & Pipeline Development (The Foundation)

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.

Second - BI Platform Enablement (Self-Service Analytics)

Collaborate with the Engineering team to lead the evaluation, selection, and implementation of a modern BI tool (e.g., Looker, Tableau, Metabase). Looker is the current selection but that may change after a more indepth analysis.
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.

Third - Data Science & Analysis (Actionable Insights)

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.

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

Bonus

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

Salary: $130,000

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

If you don’t meet all the requirements but think you would be a great fit for our team, we’d still love to meet you and encourage you to apply! Additionally, check out our careers page for more information on Yembo!

Notice

Yembo is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment, as Yembo does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, state, or local law.

We are not accepting submissions from recruiting firms at this time.

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