Overview
On Site
USD 55.00 - 60.00 per hour
Full Time
Skills
Statistical Models
Customer Satisfaction
Service Delivery
Customer Engagement
Data Analysis
Billing
Issue Resolution
Process Optimization
Artificial Intelligence
Workflow
Routing
Optimization
Clustering
Modeling
Collaboration
Leadership
Data Science
Customer Service
Python
R
SQL
Data Visualization
Tableau
Microsoft Power BI
Machine Learning (ML)
scikit-learn
TensorFlow
PyTorch
Natural Language Processing
Cloud Computing
Amazon Web Services
Big Data
Apache Spark
Apache Hadoop
Job Details
Top Skills' Details
3+ years in data science, preferably in customer service, utilities, or a related industry.
- Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI).
- Experience with machine learning (scikit-learn, TensorFlow, PyTorch) and NLP.
- Familiarity with cloud platforms (preferable AWS) and big data tools (Spark, Hadoop) is a plus.
Description
We are seeking a skilled data scientist to join our customer service team. In this role, you will leverage data analytics, machine learning, and statistical modeling to enhance customer service operations, improve customer satisfaction, and optimize service delivery. You will work closely with cross-functional teams to extract insights from customer interactions, predict service trends, and develop data-driven solutions that drive efficiency and customer engagement.
Key Responsibilities:
1. **Data Analysis & Insights:**
- Analyze large datasets from customer service interactions (call logs, chat transcripts, surveys, billing data, etc.) to identify trends and pain points.
2. **Predictive & Prescriptive Modeling:**
- Build machine learning models to predict customer next best action, service outages, and high-risk accounts.
- Develop recommendation systems to personalize customer interactions and improve issue resolution.
3. **Process Optimization:**
- Use AI and automation to improve customer service workflows (e.g., chatbots, routing optimization).
- Collaborate with IT and operations teams to integrate data-driven solutions into customer service platforms.
4. **Customer Segmentation & Personalization:**
- Apply clustering techniques to segment customers based on behavior, preferences, and service needs.
- Design targeted retention and engagement strategies using data insights.
5. **Natural Language Processing (NLP):**
- Analyze customer feedback (emails, surveys, call transcripts) using sentiment analysis and topic modeling to improve service quality.
- Enhance chatbot and virtual assistant capabilities using NLP techniques.
6. **Stakeholder Collaboration:**
- Present findings to leadership and business teams in a clear, actionable manner.
- Work with customer service managers to implement data-backed improvements.
Qualifications & Skills:
- **Education:** Masters of PhD degree in Data Science, Computer Science, Statistics, or a related field.
- **Experience:**
- 3+ years in data science, preferably in customer service, utilities, or a related industry.
- Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI).
- Experience with machine learning (scikit-learn, TensorFlow, PyTorch) and NLP.
- Familiarity with cloud platforms (preferable AWS) and big data tools (Spark, Hadoop) is a plus.
- **Soft Skills:**
- Strong problem-solving and analytical thinking.
- Ability to translate technical findings into business recommendations.
- Excellent communication and teamwork skills.
Skills
Python, Data science, Machine learning, Sql, cloud
Top Skills Details
Python, Data science, Machine learning, Sql, cloud
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $55.00 - $60.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Coral Gables,FL.
Application Deadline
This position is anticipated to close on Jul 10, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
3+ years in data science, preferably in customer service, utilities, or a related industry.
- Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI).
- Experience with machine learning (scikit-learn, TensorFlow, PyTorch) and NLP.
- Familiarity with cloud platforms (preferable AWS) and big data tools (Spark, Hadoop) is a plus.
Description
We are seeking a skilled data scientist to join our customer service team. In this role, you will leverage data analytics, machine learning, and statistical modeling to enhance customer service operations, improve customer satisfaction, and optimize service delivery. You will work closely with cross-functional teams to extract insights from customer interactions, predict service trends, and develop data-driven solutions that drive efficiency and customer engagement.
Key Responsibilities:
1. **Data Analysis & Insights:**
- Analyze large datasets from customer service interactions (call logs, chat transcripts, surveys, billing data, etc.) to identify trends and pain points.
2. **Predictive & Prescriptive Modeling:**
- Build machine learning models to predict customer next best action, service outages, and high-risk accounts.
- Develop recommendation systems to personalize customer interactions and improve issue resolution.
3. **Process Optimization:**
- Use AI and automation to improve customer service workflows (e.g., chatbots, routing optimization).
- Collaborate with IT and operations teams to integrate data-driven solutions into customer service platforms.
4. **Customer Segmentation & Personalization:**
- Apply clustering techniques to segment customers based on behavior, preferences, and service needs.
- Design targeted retention and engagement strategies using data insights.
5. **Natural Language Processing (NLP):**
- Analyze customer feedback (emails, surveys, call transcripts) using sentiment analysis and topic modeling to improve service quality.
- Enhance chatbot and virtual assistant capabilities using NLP techniques.
6. **Stakeholder Collaboration:**
- Present findings to leadership and business teams in a clear, actionable manner.
- Work with customer service managers to implement data-backed improvements.
Qualifications & Skills:
- **Education:** Masters of PhD degree in Data Science, Computer Science, Statistics, or a related field.
- **Experience:**
- 3+ years in data science, preferably in customer service, utilities, or a related industry.
- Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI).
- Experience with machine learning (scikit-learn, TensorFlow, PyTorch) and NLP.
- Familiarity with cloud platforms (preferable AWS) and big data tools (Spark, Hadoop) is a plus.
- **Soft Skills:**
- Strong problem-solving and analytical thinking.
- Ability to translate technical findings into business recommendations.
- Excellent communication and teamwork skills.
Skills
Python, Data science, Machine learning, Sql, cloud
Top Skills Details
Python, Data science, Machine learning, Sql, cloud
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $55.00 - $60.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Coral Gables,FL.
Application Deadline
This position is anticipated to close on Jul 10, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.