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Weekend Machine Learning Postdoc Jobs in Claymont, DE

Applying statistical methods and machine learning to extract actionable insights from complex ... Must be able to work nights and weekends, variable schedule(s) as necessary. * Other duties and ...

Manufacturing Operator - 3rd Shift

Newark, DE · On-site

$17 - $20.25/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. Graver Technologies is ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... General Labor, Machine Operator, Maker/Packer, Assembler and Line Operator. Graver Technologies is ...

Phlebotomist I

Audubon, NJ · On-site

$15.34 - $25.53/hr

Our strong growth is creating great learning and career development opportunities throughout our ... Operates the automated plasmapheresis machines, including response and evaluation of all machine ...

Phlebotomist II

Pennsauken, NJ · On-site

$27.47 - $34.34/hr

Our strong growth is creating great learning and career development opportunities throughout our ... Operates the automated plasmapheresis machines, including response and evaluation of all machine ...

Phlebotomist I

Audubon, NJ

$15.34 - $25.53/hr

Our strong growth is creating great learning and career development opportunities throughout our ... Operates the automated plasmapheresis machines, including response and evaluation of all machine ...

Cashier

Philadelphia, PA · On-site

$18 - $19/hr

Weekends as needed for special events * Pay range: $18-$19 per hour W ha t the Cashier will do ... Operate a coffee/espresso machine * Assist in transporting, setting up, garnishing, maintaining ...

Phlebotomist III

Audubon, NJ

$31.63 - $39.53/hr

Our strong growth is creating great learning and career development opportunities throughout our ... Operates the automated plasmapheresis machines, including response and evaluation of all machine ...

Showing results 41-60

Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Claymont, DE?

For Weekend Machine Learning Postdoc jobs in Claymont, DE, the most frequently searched job titles are:

What job categories do people searching Weekend Machine Learning Postdoc jobs in Claymont, DE look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Claymont, DE are:

Infographic showing various Weekend Machine Learning Postdoc job openings in Claymont, DE as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Manager, Enterprise Analytics

Comcast

Philadelphia, PA • On-site

Full-time

Re-posted 5 days ago


Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job leads a team in harnessing advanced data science techniques to address complex business challenges and drive performance. It oversees the development of predictive models and strategic insights, fostering a culture of data-driven decision-making. The role ensures the integration of data science best practices into business processes and functions.

Job Description

Responsibilities:

  • Collaborating with cross-functional teams to define data analysis needs and design experiments for product and service enhancements
  • Leading the development and implementation of algorithms and processes for data integration, cleansing, and large-scale analysis
  • Applying statistical methods and machine learning to extract actionable insights from complex datasets for strategic decision-making
  • Overseeing the creation of predictive models and data mining architectures, ensuring alignment with business objectives and industry standards
  • Managing the analysis of historical customer behavior and product performance, translating complex data into business insights
  • Developing predictive analytics to forecast customer behavior and guide future business strategies
  • Constructing data-driven forecasts, recommendations, and strategic plans to optimize business outcomes
  • Driving the adoption of data science best practices and fostering a culture of innovation and data-driven decision-making within the team
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

#EBICareers

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.


Skills:

Business Insights; Data Science; Actionable Insights


Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.


Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years