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Weekend Machine Learning Postdoc Jobs in Connecticut

Hearst

Data Reporter

Norwalk, CT · On-site

$24.50 - $33.50/hr

Knowledge of AI and/or machine learning for data storytelling. * Willingness and drive to learn new ... This position is full-time. * It could include some weekend and holiday work. * The successful ...

Hearst

Data Reporter

Norwalk, CT · On-site

$24.50 - $33.50/hr

Knowledge of AI and/or machine learning for data storytelling. * Willingness and drive to learn new ... This position is full-time. * It could include some weekend and holiday work. * The successful ...

Hearst

Data Reporter

Norwalk, CT · On-site

$24.50 - $33.50/hr

Knowledge of AI and/or machine learning for data storytelling. * Willingness and drive to learn new ... This position is full-time. * It could include some weekend and holiday work. * The successful ...

Hearst Newspapers

Data Reporter

Norwalk, CT

$24.50 - $33.50/hr

Knowledge of AI and/or machine learning for data storytelling. * Willingness and drive to learn new ... This position is full-time. * It could include some weekend and holiday work. * The successful ...

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Weekend Machine Learning Postdoc information

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 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 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 popular job titles related to Weekend Machine Learning Postdoc jobs in Connecticut? For Weekend Machine Learning Postdoc jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Connecticut look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Connecticut are:
What cities in Connecticut are hiring for Weekend Machine Learning Postdoc jobs? Cities in Connecticut with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you
Data Reporter

Data Reporter

Hearst

Norwalk, CT • On-site

$24.50 - $33.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Hearst rating

6.7

Company rating: 6.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

48th of 64 rated media

Job description

Data Reporter, Hearst Connecticut Media Group

We're expanding our data team at Hearst Connecticut Media Group. Key new roles focus on real estate, demographics, compensation and education. 

If you love local news, inspiring conversation and challenging assumptions, this could be the role for you. Bonus if you can't rest until you've validated your data. 

HCMG is the state's largest newsroom, with more than 130 journalists covering breaking news, high school and UConn sports, politics and government, business, real estate and development, education, food and trending topics. We collaborate with Hearst's DevHub on innovative data journalism.

We have an immediate opening for an ambitious, versatile journalist who thrives on finding stories in data.

We're seeking a self-starter with high standards who can collaborate well, has excellent communication skills, is comfortable providing and taking feedback. We want a teammate who aspires to be a key player in an exciting, modern news operation that values a smart, local readership and aims to elevate how we report and present journalism online. 

Key responsibilities:

  • Report and write - both alone and with other reporters.
  • Collect, clean, analyze and visualize datasets to surface meaningful trends and insights.
  • Publish a mix of quick-turn and enterprise reporting.
  • Conceive ideas and work with reporters, photographers, editors and developers to enhance our storytelling.
  • Identify and pursue stories that have a potential for real-world impact.
  • Use analytics to understand audience needs and trends, especially for subscribers.

What it will take to be successful: 

  • Experience in a modern newsroom or a related work environment.
  • Strong news judgment and deep curiosity.
  • Ability to report stories and write and build quickly while keeping the strictest commitment to fairness and accuracy.
  • Proven skill with Python, R, or similar scripting languages, and comfort with data visualization and mapping tools.
  • Understanding of statistical principles and a commitment to accuracy and transparency in analysis.
  • Excellent communication and collaboration skills.
  • Knowledge of AI and/or machine learning for data storytelling.
  • Willingness and drive to learn new technical and newsroom skills.
  • Plus: Knowledge of or experience reporting on compensation, real estate, and/or education.
  • Plus: Ability to speak a second language like Spanish.

What will elevate you as a candidate:

  • Ability to build scalable data pipelines to efficiently process millions of records.
  • Experience developing robust backend infrastructure and APIs that integrate seamlessly with existing frontend frameworks.

Requirements: 

  • This position is full-time. 
  • It could include some weekend and holiday work.
  • The successful candidate must be based in Connecticut or nearby New York or willing to move to the region.

To Apply: 

Send a cover letter, resume and clips for review.

This full-time job with benefits is based in Connecticut and is not eligible for remote candidates. 

About us: 

Hearst Connecticut Media Group (HCMG) is a collection of the state's most important news properties, providing local, watchdog and investigative reporting that impacts communities across Connecticut.

HCMG includes close to 170 journalists working at 10 daily newspapers - Connecticut Post, Greenwich Time, Journal Inquirer, The Middletown Press, The New Haven Register, The News-Times, The Norwalk Hour, Record-Journal, Republican-American and Stamford Advocate - 13 weekly newspapers, Connecticut Magazine and multiple websites.

HCMG expanded further in 2021 with the launch of Connecticut's No. 1 statewide news source, CTInsider.com, covering everything from sports and politics to breaking news stories and compelling features about Connecticut residents and businesses. 

Our Benefits:

At Hearst Newspapers, we not only support our employees through personal and professional development, but we also believe in promoting each individual's physical, financial and emotional wellbeing (and that of their family).  Our industry-leading benefits include:

  • Physical Wellbeing: Medical, Dental, and Vision coverage to keep you and your family healthy.
  • Invest for the Future: Competitive retirement plan with matching program in most markets.
  • Generous Paid Time Off: Recharge with ample time off, including holidays and vacation.
  • Paid Parental Leave: Support for growing families, with paid leave for new parents.
  • Monthly Child & Dependent Care Reimbursement: Financial support for the care of your loved ones.
  • Emotional Wellbeing: Be your best self with our mental wellness benefits.
  • LGBTQ+ & Inclusive Health Services: Inclusive healthcare designed for every individual's unique needs.
  • Fertility Coverage & Menopause Support: Helping you along every step of your family journey.
  • Pet Wellness Reimbursement & Rover Credits: We care about your pets, too - helping you keep them happy and healthy.

  • And more, click here for additional benefits and details.

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