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Data Scientist- Bilingual Spanish
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist- Bilingual Spanish in Denver, CO, for 12+ months at a pay rate of "unknown." Requires strong SQL and Python skills, real-world AI experience, and familiarity with NLP. Telecom industry experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 29, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#ML (Machine Learning) #Datasets #Leadership #AI (Artificial Intelligence) #Python #SQL (Structured Query Language) #NLP (Natural Language Processing) #Data Manipulation #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Libraries #"ETL (Extract #Transform #Load)" #Cloud #Data Science #Azure
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, 1 Point System, is seeking the following. Apply via Dice today!
Role: Data Scientist- Bilingual Spanish
Location: Denver, CO (5 days onsite a week)
Duration: 12+ Months
Job Description:
About the Opportunity:
Ready to join a cutting-edge AI team that s catching the attention of the C-suite? We re partnering with a leading telecom organization driving next-generation customer experience through real-time data science and AI. We re starting strong with a few immediate roles and will continue to grow this is a huge opportunity to get in early and make an impact.
What You'll Do:
You'll join a high-visibility team working on Next Best Offer a core initiative using predictive analytics to deliver personalized offers to customers based on real-time engagement data (calls, chats, diagnostics). This includes:
• Designing AI-driven solutions for customer retention and engagement.
• Leveraging NLP to extract insight from conversational data.
• Supporting the evolution from traditional ML models to custom LLMs.
• Working with SQL and Python to process and analyze complex datasets.
• Collaborating across teams to integrate AI into business decisions and operations.
What We're Looking For:
We re seeking early-career Data Scientists who bring curiosity, emotional intelligence, and collaborative spirit. You ll be joining a team that values innovation over ego and communication over technical bravado.
Must-Haves:
• Solid SQL skills for querying and data manipulation.
• Strong Python background, especially with AI/NLP libraries.
• Applied experience with AI in a real-world setting.
• Familiarity with NLP techniques for analyzing human interactions.
Nice-to-Haves:
• Exposure to or interest in developing LLMs.
• Experience in telecom, customer support, or call center data.
• Understanding of cloud-based AI tools (Azure, AWS, or Google Cloud Platform).
Important Notes:
• This role is 100% onsite in Denver no exceptions. We re building a local powerhouse and need people fully committed to the location.
• Open to strong new grads or those with a Master s degree, but professionalism, collaboration, and communication are essential.
• Contract-to-hire roles are available high-performing team members have a strong chance of conversion.
Why This Team?
This isn t just another data science gig. You ll be part of a trendsetting AI team at one of the most influential telecom firms globally. With executive leadership directly involved and vendor consolidation underway, those who succeed early will have long-term access to all upcoming roles.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, 1 Point System, is seeking the following. Apply via Dice today!
Role: Data Scientist- Bilingual Spanish
Location: Denver, CO (5 days onsite a week)
Duration: 12+ Months
Job Description:
About the Opportunity:
Ready to join a cutting-edge AI team that s catching the attention of the C-suite? We re partnering with a leading telecom organization driving next-generation customer experience through real-time data science and AI. We re starting strong with a few immediate roles and will continue to grow this is a huge opportunity to get in early and make an impact.
What You'll Do:
You'll join a high-visibility team working on Next Best Offer a core initiative using predictive analytics to deliver personalized offers to customers based on real-time engagement data (calls, chats, diagnostics). This includes:
• Designing AI-driven solutions for customer retention and engagement.
• Leveraging NLP to extract insight from conversational data.
• Supporting the evolution from traditional ML models to custom LLMs.
• Working with SQL and Python to process and analyze complex datasets.
• Collaborating across teams to integrate AI into business decisions and operations.
What We're Looking For:
We re seeking early-career Data Scientists who bring curiosity, emotional intelligence, and collaborative spirit. You ll be joining a team that values innovation over ego and communication over technical bravado.
Must-Haves:
• Solid SQL skills for querying and data manipulation.
• Strong Python background, especially with AI/NLP libraries.
• Applied experience with AI in a real-world setting.
• Familiarity with NLP techniques for analyzing human interactions.
Nice-to-Haves:
• Exposure to or interest in developing LLMs.
• Experience in telecom, customer support, or call center data.
• Understanding of cloud-based AI tools (Azure, AWS, or Google Cloud Platform).
Important Notes:
• This role is 100% onsite in Denver no exceptions. We re building a local powerhouse and need people fully committed to the location.
• Open to strong new grads or those with a Master s degree, but professionalism, collaboration, and communication are essential.
• Contract-to-hire roles are available high-performing team members have a strong chance of conversion.
Why This Team?
This isn t just another data science gig. You ll be part of a trendsetting AI team at one of the most influential telecom firms globally. With executive leadership directly involved and vendor consolidation underway, those who succeed early will have long-term access to all upcoming roles.






