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Temporary Data Scientist Machine Learning Jobs in Juncos, PR

Machine Operator 1

Caguas, PR ยท On-site

$12.50/hr

Learning Orientation Job Competencies: To perform the job successfully, an individual should ... Ability to perform data entry of information fast and error free * Encourage productive and ...

AI Ops Engineer

San Juan, PR ยท Hybrid

$68K - $92K/yr

We help companies connect, protect, analyze, and act on their data and applications wherever they ... Knowledge of machine learning model lifecycle management and deployment - advantageous.

AI Ops Engineer

San Juan, PR ยท Hybrid

$51.75 - $70.75/hr

We help companies connect, protect, analyze, and act on their data and applications wherever they ... Knowledge of machine learning model lifecycle management and deployment - advantageous.

Showing results 41-60

Temporary Data Scientist Machine Learning information

See Juncos, PR salary details

$36.5K

$119.5K

$191.4K

How much do temporary data scientist machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for temporary data scientist machine learning in Juncos, PR is $119,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $132,400.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Juncos, PR?

For Temporary Data Scientist Machine Learning jobs in Juncos, PR, the most frequently searched job titles are:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Juncos, PR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,534 per year, or $57.5 per hour.

Customer Success Specialist (Temporary)

Cengage Learning

San Juan, PR โ€ข On-site

Full-time

Posted 13 days ago


Key responsibilities

  • Manage and deliver post-sale digital onboarding and training sessions to academic customers, educators, librarians, and students.

  • Support customer engagement by conducting regular check-ins, analyzing feedback, monitoring usage, and working with internal teams to resolve issues.

  • Collaborate with cross-functional teams to ensure a seamless customer experience from onboarding through ongoing support and provide updates on customer activity and feedback.


Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Job Overview

As a Customer Success Specialist (Temporary), you will manage and grow strategic accounts, serving as a trusted advisor to educators and institutional partners. You will drive client satisfaction, retention, and adoption of our digital learning solutions through both post-sale engagement, including onboarding, training, and ongoing support.

Acting as the primary point of contact, you will collaborate cross-functionally to ensure seamless delivery and a strong customer experience. You will also leverage customer health metrics and proactive strategies to increase engagement, reduce churn, and support scalable success.

What you'll do here:

Customer Onboarding & Training

  • Deliver post-sale digital training and engagement support to academic customers.
  • Plan and conduct onboarding and implementation sessions-both onsite and remotely-for educators, librarians, and students.
  • Use global and regional onboarding tools and documentation to support customer needs.
  • Deliver onboarding and training sessions to ensure customers can effectively use Cengage digital products.
  • Maintain deep knowledge of digital platforms and customer usage patterns to tailor training and support.
  • Develop and maintain positive relationships with customers to ensure their success and happiness with Cengage products and services.
  • Conduct regular check-ins with customers to understand their needs, provide support, and identify opportunities for growth.
  • Collaborate with cross-functional teams to ensure a seamless customer experience from onboarding to ongoing support.
  • Analyze customer feedback and data to determine areas for improvement and develop strategies to improve customer happiness.
  • Monitor customer usage and engagement with our products and provide insights to internal teams to drive product improvements.
  • Improve the value of our products and services through training and resources offered to customers.
  • Manage customer issues and work with internal teams to resolve them promptly and effectively.
  • Track and report on key customer success metrics to measure the impact of your efforts and identify areas for improvement.
Customer Engagement & Success
  • Support strategic adoption of Cengage resources through proactive customer engagement.
  • Monitor customer success metrics and develop action plans to increase product usage and reduce churn.
  • Collect and act on customer feedback to improve satisfaction and engagement.
  • Provide timely and effective support as a key point of contact for customer inquiries.
  • Promote digital platforms through training, events, and ongoing engagement initiatives.
Cross-Functional Collaboration
  • Collaborate with Sales, Marketing, Product, and Technical Support teams to ensure a seamless and impactful customer experience.
  • Support sales teams by monitoring usage trends and assisting with renewals.
  • Provide feedback to internal teams to improve customer experience and inform product development.
Analytics & Reporting
  • Track and analyse customer usage data, health metrics, and feedback to identify trends, risks, and opportunities.
  • Maintain accurate records of customer interactions and training activities in Salesforce.
  • Provide regular updates and analysis on customer activity and feedback to internal partners.
Skills you will need here:
  • Educated to graduate level or equivalent relevant work experience.
  • Languages: B2+ Proficient in English (spoken and written)
  • Proven experience in training, customer support, or solutions-based roles, ideally within EdTech, SaaS, or publishing industries.
  • Strong understanding of digital learning tools within academic libraries, higher education or ELT landscape is highly desirable.
  • Excellent presentation and public speaking skills, with experience delivering both virtual and in-person training.
  • Demonstrated ability to absorb and maintain extensive product knowledge across a diverse portfolio.
  • Proficiency with Microsoft Office 365, Salesforce (or similar CRM), Learning Management Systems (LMS), data visualization tools, and video capture software.
  • Strong customer orientation with a track record of delivering high-quality service and building effective relationships.
  • Excellent problem-solving, communication, and collaboration skills.
  • Familiarity with data integration and customer onboarding workflows.
  • Demonstrated integrity, empathy, and a commitment to customer satisfaction.

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us ataccommodations.ta@cengage.com.

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here to learn more about our Total Rewards Philosophy.

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

$34.00 - $45.00 USD