Staff Data Scientist

About Our Client:

The organization operates in the health and wellness industry, addressing challenges in healthcare accessibility and personalization. It aims to improve health outcomes by providing affordable, accessible, and personalized care from diagnosis to treatment. The company focuses on normalizing health and wellness challenges and innovating solutions to make better health outcomes easier to achieve. It is publicly traded on the NYSE under the ticker symbol "HIMS."

About the Opportunity:

The STAFF DATA SCIENTIST role serves as a technical leader within the data organization, focusing on identifying and solving high-impact problems to advance customer outcomes. This position bridges business strategy and machine learning production, ensuring data products are scalable, reliable, and deliver measurable results. The role involves setting technical standards, driving model lifecycle accountability, and mentoring data scientists to elevate the team's capabilities.

Responsibilities:

• Lead design and implementation of automated machine learning systems balancing speed and quality
• Translate ambiguous business questions into clear technical plans
• Oversee end-to-end deployment of machine learning products ensuring robustness and maintainability
• Collaborate across teams to align technical solutions with business objectives
• Establish standards for model development and oversee design documentation and peer reviews
• Take full ownership of model lifecycle and business impact
• Mentor senior and mid-level data scientists to foster technical growth

Requirements:

• Minimum 8 years in data science or machine learning engineering with production system experience
• Expertise in Python, SQL, and Python data libraries (pandas, NumPy, scikit-learn) plus major ML frameworks (PyTorch, XGBoost, or LightGBM)
• Strong problem-solving skills with focus on scalable, impactful solutions
• Proven leadership and ability to communicate complex technical ideas effectively
• Experience with CI/CD, ML Ops, and cloud-based production environments (AWS or GCP)
• Degree in quantitative field or equivalent expertise

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Competitive salary and equity compensation for full-time roles
• Unlimited paid time off, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental, and vision
• Parental leave
• Employee Stock Purchase Program
• 401k benefits with employer matching
• Offsite team retreats

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.