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Weekend Remote Data Scientist Jobs in Kentucky (NOW HIRING)

VP Engineering and R&D - AI Startup

Louisville, KY ยท Remote

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

VP Engineering and R&D - AI Startup

Louisville, KY ยท On-site +1

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

This will be a remote position that requires residency in KY or IN. The AI Manager will play a ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Remote Claims Processing Clerk

Lexington, KY ยท On-site +1

$15/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Accurately enter and review data in a high-volume environment * Monitor team chats and adjust ... WEEKENDS OFF * Paid Training * Health benefits start Day 1 to include Medical, Dental, Vision and ...

Executive Case Manager (Remote)

Pikeville, KY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Valeris works on behalf of life sciences companies to improve the patient experience so that ... provides the data and strategic insights, patient support services and healthcare provider ...

Executive Case Manager (Remote)

Pikeville, KY ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Valeris works on behalf of life sciences companies to improve the patient experience so that ... provides the data and strategic insights, patient support services and healthcare provider ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Showing results 21-40

Weekend Remote Data Scientist information

What is a weekend remote data scientist?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What are the key skills and qualifications needed to thrive as a weekend remote data scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.

What is the difference between Weekend Remote Data Scientist vs Part-Time Data Analyst?

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

VP Engineering and R&D - AI Startup

C-Plan.IT

Louisville, KY โ€ข Remote

$172K - $221K/yr

Full-time

Re-posted 19 hours ago


Job description

Company Description

C-PLan.IT isย an early stage startup on a mission to enable mid-market organizations to measure and maximize value from IT investments.ย We are building an AI Digital Assistant delivered as-a service in real time to support IT investment decision making and value optimization.ย ย 

Unlike competitive solutions that focus on cost or asset managementย only C-Plan.IT specializes in IT investment management with a particular focus on digital transformation objectives.ย 

The benefits of using C-Plan.IT increase as the platform's membership grows toward the bold goal of becoming the world's largest IT investment platform with $100B annual IT investments under management across 2000 organizations in the next 10 years.ย 

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire the best people regardless of where they are located.

Job Description

Are you a technology leader who is not only passionate about AI but is also excited to be at the forefront of solving one of the most challenging problems that have plagued IT for years and could result in organizations becoming highly challenged or possibly extinct as digital transformation sweeps every sector?

Are you looking for a role with the opportunity to:

  • Execute core research in AI knowledge management that leads to patentable technologies?
  • Take an idea from research to a commercially successful cloud-based enterprise software product?
  • Build a solution that will have a meaningful impact on one-third of the US economy - both for-profit and not-for-profit organizations?

Are you seeking the potential to:

  • Be the first to bring a unique combination of AI and data management to the market?
  • Work with experienced, successful Silicon Valley entrepreneurs with 4X startup experience leading to IPO and acquisition exits?
  • Be mentored by a team of research advisors known in the industry as thought leaders?
  • Participate in a Silicon Valley-style equity opportunity within a venture with the potential for significant value creation?
  • Work with a company built around a remote model before COVID-19 made it a requirement?
  • Give back to your community through a 1-1-1 philanthropic model as pioneered by Marc Benioff's Salesforce?
Qualifications

The Essentials:

  • Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation Research or other equivalent quantitative fields
  • Experience in AI with a demonstrated understanding of expert systems, knowledge management, and digital assistants
  • Experience managing a team of data scientists and AI researchers and engineers using Agile methodologies and tools
  • Previous startup experience with a proven track record of leading teams that drive innovation and deliver products in a fast-paced, high-energy environment
  • Excited to work with new technologies and approaches
  • Experience working within an SBIR NSF (Small Business Innovation Research - National Science Foundation) Program grant award model

Responsibilities:

  • Get to know our customer (or know them already) and use that empathy to inform shaping the product's vision and requirements and building an exceptional product
  • Serve as a thought leader and technology strategy driver along with the CEO and Co-Founders to make decisions on the product technology architecture including building block components - with a preference for open source technologies
  • Build, build, build - especially in the early days, you will be rolling up your sleeves and writing code, from core platform to fixing bugs
  • Help form a top-performing team of talented and responsible software engineers, data scientists and product designers, and provide them the freedom to be creative and innovative
  • Lead product engineering including research and development of unique proprietary and patentable intellectual property that yields competitive advantages
  • Embody the company's culture and mission by fostering a culture that is passionate about building awesome products that deliver measurable value and a customer experience that delights
  • Evangelize the company's technology vision, roadmap and capabilities with customers, investors, employees, and other stakeholders
  • Stay current on technology advances in the field of AI - especially digital assistants, knowledge engineering, data-driven reasoning, expert systems - and in the field of data management - including column databases and other advanced decision analytics technologies
Additional Information

All your information will be kept confidential according to EEO guidelines.