9 дней назад
Principal Data & AI Consultant
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data & AI Consultant (Forecasting/ML): Designing production-ready Data & AI solutions across data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations with an accent on advanced forecasting, model validation, and business-impact measurement. Focus on leading executive discovery and architecture workshops, preventing data leakage and point-in-time errors, and translating complex statistical limitations into clear business decisions.
Location: Remote, United States; ability to work onsite at corporate or client offices as necessary.
Company
provides technology consulting, engineering, and digital platform services for organizations across multiple industries.
What you will do
- Advise CIO, CTO, CDO, CRO, business, product, and technology stakeholders on Data & AI strategy and solutions.
- Lead discovery and translate ambiguous business problems into measurable, production-ready solutions.
- Design end-to-end architectures across data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations.
- Lead forecasting and predictive-modeling work, including feature design, model selection, tuning, validation, and business-impact measurement.
- Run solution-design workshops, executive readouts, technical discovery, proposals, and solution-shaping activities.
- Mentor multidisciplinary engineering and architecture teams, transfer knowledge, and ensure reproducible documentation and handover.
Requirements
- Must be based in the United States for this remote role.
- 7+ years of applied forecasting and data-domain experience, including at least two comparable engagements delivered from discovery through production or handover.
- Expertise in multivariable regression, collinearity analysis, VIF interpretation, model tuning, selection, holdout validation, sparse and zero-inflated datasets, and forecasting metrics.
- Strong Python, SQL, Git, reproducible analytical workflow, notebook, Data Architecture, and Solution Architecture experience.
- Experience with ML, GenAI/LLMs, RAG, AI agents, enterprise AI patterns, data leakage prevention, and point-in-time feature correctness.
- Proven executive communication, client consulting, workshop leadership, thought leadership, and ability to explain model limitations, uncertainty, and risk in business language.
Nice to have
- Experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial and revenue analytics.
- Hierarchical or mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI experience.
- Strong Snowflake and Snowflake ML or Model Registry experience.
- 10–12+ years of overall Data, Analytics, AI, Architecture, or related technology experience.
Culture & Benefits
- Full-time employment with medical, dental, vision, disability, life insurance, and AD&D coverage.
- Flexible Spending Accounts and a Health Savings Account paired with a high-deductible medical plan.
- 401(k) Safe Harbor retirement plan with employer matching and immediate vesting.
- Inclusive and respectful work environment with reasonable accommodations available during employment and recruitment.
- Participation in internal and external video meetings, with onsite corporate or client work and business travel or event attendance as required.
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