Senior Director, Data Science – Machine Learning

Job not on LinkedIn

🕒 July 30

🇺🇸 United States – Remote

💵 $140k - $180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vibrant

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Vibrant is a membership-based network of LGBTQ+ entertainment marketing professionals that organizes events, panels, socials, and industry programming to support, promote, and connect members across the entertainment and marketing ecosystem. The group maintains a member directory, leadership committee, sponsorship opportunities, and spotlight/nomination programs to showcase members’ work and provide professional development and community-building.

📋 Description

• Define and execute the multi-year data science, machine learning, and AI strategy and roadmap • Lead and grow the data science and machine learning function • Translate organizational priorities into an applied research and delivery portfolio • Advise executive leadership on emerging AI technologies and build-versus-buy decisions • Represent data science and AI capabilities with executives, federal partners, vendors, and external organizations • Establish technical standards for machine learning development, validation, code quality, documentation, reproducibility, and engineering practices • Coach and mentor data scientists, analysts, and engineers • Recruit, onboard, and retain data science and AI talent • Lead applied research and translate findings into actionable recommendations and production-ready ML solutions • Oversee quantitative research, program evaluation, statistical modeling, and outcome measurement frameworks • Oversee NLP and machine learning models for crisis services, including summarization, sentiment analysis, quality assurance, risk detection, and routing optimization • Partner with engineering teams to deploy models in secure, HIPAA-compliant infrastructure and monitor their lifecycle • Ensure production AI and ML systems meet governance, validation, documentation, audit, and regulatory requirements • Serve as senior technical representative in Data Governance and Responsible AI governance forums • Collaborate with technology, engineering, analytics, governance, and program leaders • Support cooperative agreement deliverables, research reporting, and external program evaluation activities

🎯 Requirements

• Executive-level expertise in statistical modeling, machine learning, NLP, and applied AI • Deep knowledge of end-to-end machine learning lifecycle management • Experience leading and scaling data science, machine learning, or AI teams • Experience establishing technical standards, engineering best practices, and scientific rigor • Experience translating applied research into production-ready ML systems • Experience designing quantitative research studies and evaluating analytical methods • Knowledge of responsible AI, model governance, model risk management, fairness evaluation, and explainable AI • Experience with regulated or sensitive data environments, including HIPAA or 42 CFR Part 2 • Ability to partner with executive, engineering, product, analytics, governance, and operational teams • Experience recruiting, mentoring, developing, and retaining technical talent • Excellent written and verbal communication skills • Strong strategic thinking, decision-making, and organizational leadership capabilities • Bachelor's degree in Statistics, Computer Science, Data Science, Epidemiology, Public Health, or related field required • 10+ years of progressive experience in applied data science and/or machine learning engineering • Minimum 5 years of people leadership experience • Demonstrated success building, leading, or significantly scaling a data science, ML, or AI function • Experience delivering end-to-end production machine learning solutions • Proficiency with Python and modern ML technologies such as scikit-learn, PyTorch, TensorFlow, Hugging Face, MLflow, Snowflake, and dbt • Familiarity with HIPAA, 42 CFR Part 2, and sensitive-data governance requirements • Physical ability to remain stationary 50% of the time and operate a computer and standard office equipment

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Supplemental income insurance • Employer-paid disability insurance • Employer-paid life insurance • Pre-tax FSA for medical and dependent care • 401(k) available