ΠΡΠ° Π²Π°ΠΊΠ°Π½ΡΠΈΡ Π² Π°ΡΡ ΠΈΠ²Π΅
ΠΠΎΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ βΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 7 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Ds Analytics II - Advance Agentic AI
112Β 000 - 156Β 500$
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
DS Analytics II - Advance Agentic AI: Analyzing complex datasets to uncover actionable insights that drive product and business decisions with an accent on user experience optimization via GenAI-driven personalization. Focus on experiment design, unbiased test analysis, actionable recommendations, and product optimization.
Location: United States - Washington - Seattle
Salary: $112,000.00 to $156,500.00
Company
brands power global travel for everyone, everywhere.
What you will do
- Analyze and interpret complex data sets to uncover actionable insights that drive product and business decisions.
- Design, develop, and implement analytical models, leveraging statistical and machine learning techniques appropriate to business needs.
- Partner with cross-functional teams to define and measure success metrics, and communicate findings to technical and non-technical stakeholders.
- Build, validate, and optimize data pipelines and workflows to ensure high-quality, scalable analytics solutions.
- Apply advanced data visualization methods to present results clearly and effectively for a wide audience.
- Safely integrate and operate AI/ML-enabled solutions that improve outcomes, demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.
Requirements
- Bachelorβs degree in Computer Science, Statistics, Mathematics, or a related technical field; or equivalent related professional experience.
- 2+ years of relevant professional experience.
- Demonstrated experience analyzing large data sets and applying statistical methods to solve business problems.
- Proficiency in SQL and at least one programming language (such as Python or R) for data analysis.
- Ability to communicate insights, methodologies, and recommendations effectively to diverse audiences.
Nice to have
- Experience designing and implementing scalable analytics and data solutions in a cloud environment.
- Demonstrated ability to leverage advanced machine learning or AI/ML techniques to generate business impact.
- Expertise in data visualization tools and best practices for effective storytelling with data.
- Proven track record of collaborating with engineering, product, and business teams to translate data insights into action.
- Experience safely integrating and operating AI/ML-enabled solutions that improve outcomes, including developing or deploying AI-driven analytics workflows.
Culture & Benefits
- Full benefits package, including exciting travel perks and generous time off.
- Parental leave, a global hybrid work setup, and career development resources.
- Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
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