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Internship Machine Learning Quant Jobs in Arizona

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

Machine learning: using computers to improve as well as develop algorithms; * Statistical analysis: to understand and work around possible limitations in models. Education * Degree in quantitative ...

Analyze customer data (qualitative & quantitative) to uncover trends and provide actionable ... Design, develop, and implement machine learning models and forecasting techniques to predict ...

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

Senior Pricing Manager

Scottsdale, AZ · On-site

$150 - $190/hr

Machine Learning * Statistical Analysis * Quantitative Analysis * Pricing Systems * Revenue Management Soft Skills * Analytical Problem-Solving * Executive Communication * Stakeholder Management

... quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other ...

Showing results 41-60

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Arizona?

The most popular types of Machine Learning Quant jobs in Arizona are:

What are popular job titles related to Internship Machine Learning Quant jobs in Arizona?

For Internship Machine Learning Quant jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Arizona look for?

The top searched job categories for Internship Machine Learning Quant jobs in Arizona are:

What cities in Arizona are hiring for Internship Machine Learning Quant jobs?

Cities in Arizona with the most Internship Machine Learning Quant job openings:

Senior Director, Data Science & Personalization

Sprouts Farmers Market

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 823 frontline employees who took The Breakroom Quiz

28th of 123 rated grocery stores


Job description

Overview
The Senior Director, Data Science & Personalization provides leadership for Sprouts' data science, machine learning, insights, and personalization capabilities. This role sets the vision and strategy for how advanced analytics and data-driven decisioning power personalized customer experiences and business growth across the organization. This leader is accountable for driving measurable business outcomes and ensuring Sprouts continues to build a durable competitive advantage through data. #LI-AD1
Essential Functions
Data Science & Personalization Strategy
  • Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer.
  • Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth.
  • Balance near-term business impact with long-term capability building and scalability.
  • Serve as a senior thought leader on how data science can accelerate customer and enterprise value.

Lead Advanced Analytics & Machine Learning at Scale
  • Provide oversight and direction on machine learning models and analytical solutions development.
  • Ensure models and solutions are robust, measurable, and continuously improved.
  • Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts.

Own Test-and-Learn & Decisioning Capabilities (Pod-Based Model)
  • Guide the organization's agile pod model for testing personalization ideas.
  • Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics.
  • Leverage standardized and automated measurement to identify winning tests with stats sig confidence.
  • Govern experiment flow so learnings become always-on capabilities.

Build, Lead & Develop Leaders
  • Lead and develop Data Science, Analytics and Insights teams.
  • Establish clear expectations for leadership effectiveness, technical excellence, and business impact.
  • Build succession plans and a strong talent pipeline to support current and future growth.
  • Foster a culture of accountability, curiosity, and continuous improvement.

Influence & Partner Across the organization
  • Act as a senior strategic partner to leaders across the organization.
  • Translate complex analytical concepts into clear, compelling business narratives.
  • Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT.

Governance, Standards & Responsible Data Use
  • Establish organizational standards for model governance, documentation, monitoring, and ethical data usage.
  • Ensure data science efforts comply with privacy, security, and regulatory requirements.
  • Oversee vendor relationships and selectively engage partners where acceleration is needed.

Knowledge, Skills, Abilities and Physical Requirements
Knowledge, Skills and Abilities
  • 12+ years of experience in data science, analytics, or related quantitative disciplines.
  • 7+ years of experience leading and developing leaders and managers.
  • Proven success deploying machine learning and advanced analytics solutions at scale.
  • Strong background in statistics, experimentation, predictive modeling, and applied analytics.
  • Demonstrated ability to influence executive stakeholders and drive enterprise-level change.
  • Exceptional communication and leadership skills.

Preferred Qualifications
  • Experience in retail, grocery, eCommerce, or consumer-focused industries.
  • Deep experience with personalization, recommendation systems, or decisioning platforms.
  • Familiarity with modern cloud-based data and machine learning ecosystems.
  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.

Benefits
In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:
  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:
  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!
Sprouts Farmers Market offers DailyPay - if you're hired as an eligible employee, you'll be able to transfer the money you've already earned at no extra cost, and get it the next business day, for free. We offer DailyPay so you don't have to wait for payday to access the money you've already worked for. With DailyPay, you can see how much you've made every day and you can transfer your money any time before payday.
You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.
Why Sprouts
Grow with us!
If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer's market setting. Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.
The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts' management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.
Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.
California Residents: We collect information in accordance with California law, please see here for more information.

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