Overview
On Site
USD 55.00 - 65.00 per hour
Full Time
Skills
Analytics
Amazon EC2
Amazon S3
Data Analysis
Communication
Computer Science
Statistics
FOCUS
Predictive Analytics
Python
R
SQL
TensorFlow
PyTorch
Amazon Web Services
Analytical Skill
Problem Solving
Conflict Resolution
Big Data
Apache Hadoop
Apache Spark
Cloud Computing
Visualization
Data Visualization
Tableau
Microsoft Power BI
Project Management
Management
Energy
BERT
Data Science
Machine Learning (ML)
Predictive Modelling
Generative Artificial Intelligence (AI)
Taxes
Life Insurance
Collaboration
Partnership
Business Transformation
Law
Job Details
Top Skills' Details
3+ years of Data Science experience - experience with predictive modeling, analytics
Experience building and working with Generative AI models
AWS experience - lambda, Ec2, S3 buckets
Description
Job Requirements
Position: Senior Data Scientist
Responsibilities:
Machine Learning Development: Design, develop, and deploy machine learning models to optimize operations and predict patterns.
Data Analysis: Perform complex data analysis to identify trends, anomalies, and opportunities for efficiency improvements.
Communication: Strong communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.
Ad-hoc Tasks: Flexibility to handle ad-hoc tasks and projects as needed.
Qualifications:
Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Experience: Minimum of 5 years of experience in data science, with a focus on machine learning and predictive analytics.
Technical Skills: Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). AWS experience is a must-have.
Problem-Solving: Strong analytical and problem-solving skills.
Team Collaboration: Ability to work effectively in a team environment and lead data-driven projects.
Preferred Skills:
Big Data Technologies: Experience with big data tools like Hadoop, Spark, and cloud platforms.
Visualization Tools: Proficiency in data visualization tools like Tableau or Power BI.
Project Management: Experience in managing data science projects from inception to deployment.
Industry Knowledge: Understanding of the electric energy industry.
Generative AI: Proven experience with Generative AI models, including but not limited to GPT, BERT, and DALL-E.
Skills
Data science, Machine learning, Predictive modelling, Gen AI
Top Skills Details
Data science, Machine learning, Predictive modelling, Gen AI
Additional Skills & Qualifications
on-site 5x per week
c2h opportunity
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $55.00 - $65.00/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 Juno Beach,FL.
Application Deadline
This position is anticipated to close on Jul 9, 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 of Data Science experience - experience with predictive modeling, analytics
Experience building and working with Generative AI models
AWS experience - lambda, Ec2, S3 buckets
Description
Job Requirements
Position: Senior Data Scientist
Responsibilities:
Machine Learning Development: Design, develop, and deploy machine learning models to optimize operations and predict patterns.
Data Analysis: Perform complex data analysis to identify trends, anomalies, and opportunities for efficiency improvements.
Communication: Strong communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.
Ad-hoc Tasks: Flexibility to handle ad-hoc tasks and projects as needed.
Qualifications:
Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Experience: Minimum of 5 years of experience in data science, with a focus on machine learning and predictive analytics.
Technical Skills: Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). AWS experience is a must-have.
Problem-Solving: Strong analytical and problem-solving skills.
Team Collaboration: Ability to work effectively in a team environment and lead data-driven projects.
Preferred Skills:
Big Data Technologies: Experience with big data tools like Hadoop, Spark, and cloud platforms.
Visualization Tools: Proficiency in data visualization tools like Tableau or Power BI.
Project Management: Experience in managing data science projects from inception to deployment.
Industry Knowledge: Understanding of the electric energy industry.
Generative AI: Proven experience with Generative AI models, including but not limited to GPT, BERT, and DALL-E.
Skills
Data science, Machine learning, Predictive modelling, Gen AI
Top Skills Details
Data science, Machine learning, Predictive modelling, Gen AI
Additional Skills & Qualifications
on-site 5x per week
c2h opportunity
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $55.00 - $65.00/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 Juno Beach,FL.
Application Deadline
This position is anticipated to close on Jul 9, 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.