Manager, Data Scientist - Velocity Black (Remote) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Scientist - Velocity Black in the United States.

We are seeking a highly motivated Data Science Manager to lead the design and deployment of advanced AI and ML solutions that personalize member experiences at scale. This role offers the opportunity to manage a team of data scientists, collaborate closely with product and engineering teams, and build models that power both reactive and proactive recommendations. You will work with large-scale datasets, cloud computing platforms, and cutting-edge machine learning techniques to drive innovation. The position emphasizes customer experience, technical leadership, and fostering a collaborative, high-performing team in a fast-paced, digital-first environment.

Accountabilities

·         Lead the development and maintenance of personalization and recommendation models to enhance member experiences.

·         Apply modern AI/ML methods such as collaborative filtering, ensemble models, embeddings, neural networks, and LLMs to optimize recommendations.

·         Collaborate with product managers and engineers to integrate models into the platform, including model registration and ongoing performance measurement.

·         Develop evaluation frameworks to monitor model performance, bias, and accuracy.

·         Champion data-driven decision-making across teams and promote best practices for model lifecycle management.

·         Mentor and develop a team of data scientists, providing technical guidance and fostering professional growth.

·         Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with 6+ years of relevant experience; Master’s degree with 4+ years, or PhD with 1+ year experience also acceptable.

·         Experience leveraging open-source programming languages (Python, SQL) for large-scale data analysis.

·         Hands-on experience in machine learning, model lifecycle management, and ML operations (monitoring, feature stores, retraining, experimentation, A/B testing).

·         Experience preparing and transforming large, complex datasets for modeling.

·         Familiarity with recommendation systems and advanced personalization methods.

·         Strong collaboration skills to work effectively with product and engineering teams.

·         Excellent problem-solving, leadership, and communication skills.

·         Preferred: PhD in STEM field, experience deploying models in production at scale, and demonstrated ability to influence technical strategy.

·         Competitive salary range: $175,800 - $200,700 (Remote) or $193,400 - $220,700 (McLean, VA).

·         Performance-based incentive compensation, including potential cash bonuses and/or long-term incentives.

·         Comprehensive health, financial, and wellness benefits supporting total well-being.

·         Flexible remote work options with collaborative team engagement.

·         Opportunities for professional growth, technical leadership, and mentorship.

·         Inclusive and diverse work environment emphasizing innovation and high-impact solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1