Data Scientist Job at Robert Half, Woodland Hills, CA

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  • Robert Half
  • Woodland Hills, CA

Job Description

Description To Apply: If this is a fit, please email Valerie Nielsen with a copy of your resume (her email address is on the front page of her LinkedIn!) for immediate response! Job Title: Senior Data Scientist Location: Woodland Hills, CA (Onsite 3 days per week) Compensation: $200,000 - $220,000 base salary Job Summary: We're seeking an intellectually curious and collaborative Senior Data Scientist to join our team in Woodland Hills. This is a unique opportunity to be the first and sole internal data scientist, helping to build a center of excellence in machine learning as we transition from working with Bain & Co. to bringing everything in-house by January 2025. Key Responsibilities: + Lead the development of pricing and demand forecasting models for the Travel, Hospitality, or Ecommerce industries. + Work closely with business stakeholders to identify data-driven opportunities and make actionable recommendations. + Collaborate with Bain & Co. consultants through year-end, ensuring a smooth knowledge transfer and establishing best practices for future data science initiatives. + Design, develop, and deploy machine learning models using Python and modern data science frameworks. + Work with large-scale data processing tools (e.g., Spark, Hadoop, Databricks) and cloud platforms (Azure preferred; AWS experience acceptable if willing to learn Azure). + Play a key role in establishing a data-driven culture and building internal expertise around advanced analytics and ML. Requirements Must Haves: ✅ 5+ years of experience in data science (flexible for candidates with strong academic backgrounds) ✅ Hands-on pricing and demand forecasting experience in the Travel, Hospitality, or Ecommerce industries ✅ Master's or PhD in Computer Science, Computer Engineering, Economics, or Mathematics strongly preferred ✅ Proficiency in Python with a focus on machine learning and predictive modeling ✅ Intellectual curiosity and ability to translate data insights into impactful business recommendations Preferred Experience: Familiarity with Spark, Hadoop, Databricks, and the Azure platform (AWS experience okay if willing to learn Azure) Why Join Us? ✨ Be the first and sole internal senior data scientist, with a chance to shape and influence data science practices as we build our internal capability. ✨ Competitive base salary ($200-220k) and a collaborative environment. ✨ Exciting projects with real-world impact on pricing and demand forecasting in dynamic industries. If you're ready to take ownership of impactful data science initiatives and help build a center of excellence, we'd love to hear from you! Technology Doesn't Change the World, People Do.® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

Job Tags

Permanent employment, Contract work, Temporary work, Immediate start, Flexible hours, 3 days per week,

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