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What is a computer science OPT?

A Computer Science OPT (Optional Practical Training) job is a temporary employment opportunity for international students on an F-1 visa who have completed or are pursuing a degree in computer science. It allows them to gain practical work experience related to their field of study in the U.S. OPT can be up to 12 months, with an additional 24-month extension for students in STEM fields. These jobs typically include roles like software development, data analysis, cybersecurity, and IT support. Employers hiring OPT candidates must comply with specific visa regulations.

What types of projects or tasks can a computer science OPT typically expect to work on during their employment?

As a Computer Science OPT, you'll often be assigned to support ongoing software development, quality assurance, or data analysis projects under the guidance of experienced team members. Daily tasks may include coding, debugging, participating in code reviews, assisting with testing or deployments, and collaborating on technical documentation. Depending on the company's focus, you might also have the chance to work on web development, artificial intelligence, or cloud-based solutions. These experiences not only build your technical skills but also provide valuable exposure to real-world development cycles and team collaboration, enhancing your long-term career prospects in the tech industry.

What are the key skills and qualifications needed to thrive in the computer science OPT position, and why are they important?

To thrive as a Computer Science OPT (Optional Practical Training participant), you typically need a solid understanding of programming languages, algorithms, and data structures, usually demonstrated through a relevant degree in computer science or a related field. Familiarity with software development tools, version control systems like Git, and possibly certifications in specialized areas such as cloud computing or cybersecurity can be advantageous. Excellent problem-solving abilities, teamwork, adaptability, and strong communication skills make candidates stand out. These competencies enable you to contribute effectively to technical projects, smoothly integrate into diverse workplace environments, and adapt to rapidly evolving technology demands.

What are the most commonly searched types of Computer Science Opt jobs in Michigan?

The most popular types of Computer Science Opt jobs in Michigan are:

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For Computer Science Opt jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computer Science Opt jobs in Michigan look for?

The top searched job categories for Computer Science Opt jobs in Michigan are:

Computer Science Opt jobs near you
Infographic showing various Computer Science Opt job openings in Michigan as of September 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Scientist- Personalization & Owned Media

Ann Arbor, MI • On-site

Domino's
Food and Beverage Stores • 10K+ employees
Learn more about Domino'sexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Develop and deploy AI/ML models, data products, and analytical solutions to enhance customer engagement and marketing effectiveness in owned media channels.

  • Manage the day-to-day execution, optimization, and operational excellence of the Owned Media program, including collaboration on daily sends, testing, and performance monitoring.

  • Collaborate with marketing stakeholders, cross-functional teams, and external vendors to design, execute, and measure test-and-learn initiatives and ensure seamless activation.

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,948 frontline employees who took The Breakroom Quiz

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
The Senior ML Scientist on the Activation and Personalization Data Science team will play a key role in maximizing business impact through Owned Media Activation channels (email/push/SMS) and broader personalization initiatives. Reporting to the Manager of Activation and Personalization Data Science, this role will be responsible for developing and deploying AI/ML models, data products, and analytical solutions that power customer engagement and marketing effectiveness in owned media channels. In addition to leading AI/ML model development, this individual will own the day-to-day execution and ongoing optimization of the Owned Media program, ensuring operational excellence across business-as-usual activities. The role requires close collaboration with marketing stakeholders, cross-functional partners, and external vendors to design, execute, and measure test-and-learn initiatives while ensuring seamless activation.
This is a highly visible and hands-on technical position that combines data science, machine learning, experimentation, and business strategy. Success in this role requires strong analytical and modeling expertise, a holistic ownership mindset, exceptional communication and storytelling skills, the ability to navigate a broad range of responsibilities across data, analytics, and activation, and deep domain knowledge of the Owned Media and personalization ecosystem.
Main responsibilities
Across All Domains:
  • Leverage machine learning, AI, inference techniques, and modeling as needed to deliver deep analysis and insights and build key data artifacts/models to drive the business forward.
  • Strong day-to-day collaboration with Partner teams, such as Marketing and Data platform teams, to identify and execute strategic bets to achieve corporate objectives.

Drive Owned Media Activation
  • Build and employ AI/ML models and data artifacts to activate personalization in our Owned Media channels to drive incremental orders and revenue.
  • Ensure delivery of both day-to-day/BAU of the Owned Media space (collaborating on daily sends, incrementality measurement, continuous testing and optimizations, reporting and performance monitoring), as well as bigger channel-wide optimizations such as Send Time Optimization, Dynamic Content, Send Frequency modeling, and more.
  • Ensure tight collaboration with Digital Owned Media agency to ensure proper execution, monitoring, and overall channel measurement.
  • Lead team to govern, manage, and wrangle the sheer volume of Owned Media data.
  • Evolve measurement frameworks to account and encompass various Owned Media secondary KPIs (open rates,click rates, etc), as well as a quantified downside to negative actions (email unsubscribe, push opt-outs, etc). With this evolved understanding of success, the strategic approach should evolve as well.

Continuous Development and Looking to the Future
  • Look to the future by also employing continuous learning and development to stay adaptable and relevant in a rapidly evolving Data Science and AI space. Translate proactive engagement into innovation and then into competitive business advantages for Domino's.

  • With how intertwined Personalization and AI are, track industry developments and innovation, and adopt value-adding AI developments into our own workflows and data products to push the business forward.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's and PhD's degree preferred.
  • Multiple years of data experience in Owned Media space is necessary. Familiarity with Email Service Providers (i.e. SFMC), as well as Customer Data Platforms are preferred.
  • Strong statistical inference skills and AB test experience.
  • Strong end-to-end technical skillset, including but not limited to exploratory data analysis, feature engineering, algorithm selection and tuning, deployment and productionalization. Proficient Python and SQL skills are expected.
  • Proven ability to enable cross-functional teams and facilitate collaborative projects with strategic importance.
  • Ability to quickly switch gears, juggle multiple workstreams, and stay organized to prioritize effectively.
  • Outstanding written and verbal communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Strong executive presence and ability to articulate complex ideas in easily understandable terms to diverse audiences.

Additional Information
Location: Must reside in the Ann Arbor area or be willing to relocate
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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