Overview

We're looking for a Lead Data Scientist. Headquartered in Los Angeles, California, Right Balance provides top-tier technology talent for innovative companies in the US. We’re in the top 50 companies to watch in LA.

Engagement Details

We're a digital platform for total well-being. We help our community feel their best in body and mind through on-demand yoga, meditation, Pilates, and fitness classes with world-class teachers.

Position Overview: The Lead Data Scientist will formulate the company data strategy and work with the Data Engineers to implement the appropriate architecture and execute on the strategy. This role will be responsible for enabling data-driven decisions across the Company by sourcing accurate data, building scalable infrastructure, and delivering analytics with predictive modeling. Use various methods to transform raw data into useful data systems. Lead the team to implement methods to improve data reliability and quality.

Essential Functions and Responsibilities:

• Provide technical leadership in Data space.
• Lead the effort to build, implement, and support the data infrastructure.
• Manage a team of 2 data engineers.
• Own the majority of the deliverables for the Data team.
• Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling.
• Analyze and confirm the integrity of source data to be evaluated.
• Lead the development of data-driven solutions by working with stakeholders.
• Develop and maintain predictive models supporting both product & data initiatives.
• Ensure data quality and integrity in modeling by working with data engineers and analysts.
• Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations.
• Mentor junior data scientists and provide guidance on best practices.
• Stay up-to-date with advancements in data science to improve modeling capabilities.
• Collaborate with cross-functional teams to align data-driven solutions with business objectives.

Cultural Values Qualifications:

• Start with the why.
• Drive change.
• Practice resilience.
• Embrace progress over perfection.
• Communicate openly.
• Win together.

Work Requirements:

• Some travel may be required for in-person collaboration.

What’s in it for you

1. Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company.
2. Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product.
3. Flexible hours. Join daily standups, sprint planning, and retrospective meetings. Other than that, you’re in control of your own schedule.
4. 100% remote. Work anywhere, whether it is remotely in the comfort of your home, in a shared co-working space, in an RV on the beach, or while being a nomad in another country.
5. Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it.

Required Qualifications

• Upper-intermediate to fluent speaking and writing English. Able to have a real-time conversation.
• 6+ years of full-time hands-on Data Science experience.
• 3+ years of full-time hands-on SQL experience.
• 3+ years of full-time hands-on Python experience.
• 0.5+ year of full-time hands-on AI / LLM model development experience (excluding pure prompt engineering).
• Experience developing Recommendation algorithms.
• Proficient in programming languages such as Python, R and SAS.
• Experience with data visualization tools such as Tableau, MixPanel, and Google Looker.
• Strong understanding of statistical concepts and machine learning algorithms.
• Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda.
• Excellent communication and presentation skills to convey technical concepts to non-technical stakeholders.
• Ability to work collaboratively in cross-functional teams and lead projects from ideation to implementation.
• Experience mentoring junior data scientists and guiding best practices in modeling and analysis.

Nice to haves

1. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Experience building ML Models for new Product Features & Fraud.
3. Experience with Open Source Data Visualization tools.
4. Experience with Databricks, and Reverse ETL.

Frequently Asked Questions

What are your typical clients?

The majority of our clients are venture-backed startups at the growth stage. Usually, at this stage, the company already achieved a product-market fit and is looking to expand rapidly. That’s where we bring the best engineering practices, strong architecture, the latest technologies, and consistent processes to help companies scale.

What’s your company size?

The Right Balance team is 60+ engineers going to 100+ by the end of the year. The current client size team is 340+ people. The timing is great to be a part of a small team making meaningful contributions.

What is the length of your engagements?

Most of our long-term full-time engagements last multiple years. It allows you to evolve your career with the client company taking on more responsibilities.

What happens if the engagement is completed?

Most of our engagements are long-term in nature. That said, if the current engagement is ramping down, we’ll present you with more long-term opportunities to transition into.

What are your core values?

Client First: we only win when our clients win. We treat client challenges as our own.

Ownership: we embrace responsibility, taking on challenges, getting them to completion, and enjoying getting things done.

Quality: we’re passionate about achieving quality outcomes by applying meticulous attention to detail.