Senior Data Scientist (Advanced Analytics & Machine Learning) Role Overview We are seeking an innovative, analytical, and results-driven Senior Data Scientist to formulate and apply advanced analytical approaches—including machine learning, causal and time-series forecasting, econometric methods, and mathematical optimization. In this role, you will build and deploy predictive models, analytical tools, and data-driven processes that directly improve operational effectiveness and drive incremental business value across our enterprise ecosystem. This is a high-impact leadership and technical role for a seasoned professional who excels at solving complex real-world problems and translating intricate datasets into actionable insights. You will lead data collection, pipeline structuring, and error analysis while mentoring junior analysts, engineers, and associate data scientists. If you possess a strong foundation in advanced quantitative modeling and a passion for data-driven optimization, we want to hear from you. Key Responsibilities Advanced Modeling & Predictive Analytics

• Predictive Model Development:

  Formulate and apply advanced analytical approaches, including machine learning, causal/time-series forecasting, econometric methods, and mathematical optimization for complex business analyses.

• Data Engineering & Analysis:

  Collect, clean, and organize large structured and unstructured datasets; identify root causes of variability, test new features, and integrate them into production code.

• Model Optimization:

  Perform rigorous data and error analysis to continuously improve model accuracy, robustness, and performance.

• Tool & Methodological R D:

  Explore, evaluate, and introduce state-of-the-art analytical tools, methodologies, and technologies to elevate team capabilities. Leadership, Visualization & Cross-Functional Collaboration

• Team Leadership & Mentorship:

  Lead, supervise, and mentor interns, co-ops, analysts, engineers, and associate data scientists, fostering a culture of continuous improvement.

• Data Visualization & Communication:

  Utilize business intelligence tools to design and maintain clear, compelling reporting dashboards that communicate complex quantitative findings to both technical and executive stakeholders.

• Cross-Functional Partnership:

  Collaborate seamlessly across operational, technical, and business units to support key decision-making processes and enterprise initiatives. Qualifications & Requirements Minimum Qualifications

• Education:

  Bachelor's and Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Decision Science, Management Science, Data Science, Data Analytics, or a closely related quantitative field.

• Experience Baseline:

  Minimum of 3+ years of applied professional experience in analytical model design, development, and deployment (or an equivalent combination of advanced education and targeted experience).

•

Technical Mastery:

oComprehensive proficiency in data mining, advanced mathematics, machine learning, and statistical analysis. oHands-on experience with machine learning platforms (e.g., AzureML), process automation tools (e.g., MS Power Automate), and application development platforms (e.g., Power Apps). oAdvanced programming and data querying capabilities in Python, SQL, and R. o Expertise in business intelligence and data visualization platforms (e.g., Power BI, Tableau).

• Core Competencies:

  Demonstrated leadership and managerial experience with strong coaching capabilities; superior conceptual thinking and creative problem-solving skills; exceptional verbal and written communication abilities. Preferred Attributes
• Doctoral (Ph.D.) degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Data Science, or a related field.
• 5+ years of experience formulating and applying advanced analytical approaches within theme parks, resorts, hospitality, retail, or entertainment operations.
• Familiarity with supporting continuous 24/7/365 operational environments and high-demand business cycles.

Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf The pay transparency policy is available here: https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team. AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.

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//e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.