обновлено 2 дня назад
Senior Data Scientist (AI)
155 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Leading advanced analytics, machine learning, generative AI, and data science solutions for client and employee experiences with an accent on production AI, responsible AI, governance, and MLOps. Focus on developing AI and data science teams, defining enterprise roadmaps, and moving complex solutions from concept to production.
Location: On site in Austin, Texas, United States
Salary: $155,000–$200,000 per year, plus bonus or incentive opportunities.
Company
provides financial services and technology products supporting investing, financial planning, and client experiences.
What you will do
- Lead advanced analytics, machine learning, generative AI, and data science solutions from concept through production.
- Lead and develop a team of AI and data science professionals through mentorship, code reviews, and technical guidance.
- Define AI roadmaps and partner with business, product, engineering, risk, and operations teams.
- Establish scalable practices for responsible AI, governance, MLOps, model monitoring, and enterprise deployment.
- Evaluate emerging AI technologies and influence enterprise AI strategy.
Requirements
- Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, or a related quantitative field.
- 8+ years of experience in data science, machine learning, artificial intelligence, predictive analytics, or advanced analytics.
- 3+ years as a technical subject matter expert providing mentorship, code reviews, and AI/ML best-practice guidance.
- 3+ years of hands-on experience designing, developing, and deploying machine learning or AI solutions in production.
- Experience with machine learning, statistical modeling, predictive analytics, natural language processing, or generative AI.
- Proficiency in Python, SQL, and modern AI/ML frameworks and tools, plus strong stakeholder and project leadership skills.
Nice to have
- Master’s or Ph.D. in a related technical or quantitative field.
- Experience with generative AI, large language models, retrieval-augmented generation, agentic AI, or NLP solutions.
- Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud.
- Experience with product strategy, MLOps, model governance, responsible AI, or financial services.
Culture & Benefits
- In-office collaboration and a regular in-person work environment.
- 401(k) with company match and employee stock purchase plan.
- Health, dental, vision, parental leave, and family-building benefits.
- Paid vacation, volunteering time, and a 28-day sabbatical after five years for eligible positions.
- Tuition reimbursement and continuous learning opportunities.
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