Overview
On Site
Compensation information provided in the description
Full Time
Skills
Mathematics
Economics
Data Science
Business Acumen
Analytical Skill
Merchandising
Finance
Marketing
Modeling
Predictive Modelling
Regression Analysis
Time Series
XGBoost
Estimating
Design Of Experiments
A/B Testing
Forecasting
Pandas
scikit-learn
SQL
Microsoft Power BI
Tableau
matplotlib
Computer Science
Operations Research
Python
Analytics
Reporting
Product Lifecycle Management
Product Development
Electronic Commerce
FOCUS
Optimization
Statistical Models
Machine Learning (ML)
Retail
Pricing
Revenue Growth
Taxes
Life Insurance
Collaboration
Partnership
Business Transformation
Law
Job Details
Top Skills' Details
Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field.
Business Acumen (4-6+ years): Ability to translate complex analytical insights into actionable pricing strategies; proven track record of partnering with cross-functional teams such as Merchandising, Finance, and Marketing to drive revenue outcomes.
Retail Pricing Expertise (4-6+ years): Proven experience developing and optimizing pricing strategies in a retail environment, including elasticity modeling, promotional lift analysis, and competitive pricing insights.
Advanced Statistical Modeling (4-6+ years): Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM) applied to pricing and demand estimation.
Experimental Design (5+ years): Proficiency in designing and analyzing pricing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of pricing changes.
Python Proficiency (5+ years): Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC.
SQL Expertise (5+ years): Strong command of SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines.
Data Storytelling (5+ years): Skilled in communicating data-driven recommendations to senior stakeholders through clear, concise storytelling and visualizations using tools like Power BI, Tableau, or matplotlib.
Required Education MS Computer Science, Operations Research
Additional Information Supporting a project with Disney store pricing work and analysis.
Location: 1st preference is Orlando, 2nd preference Glendale. Team is willing to consider candidates outside of the Glendale and Orlando area as well. Onsite requirement 4 days per week, Monday-Thursday if near a Disney location in Glendale or Orlando.
Must haves:
-Important to have pricing experience.
-Must have experience as a data scientist, technical ability to do analysis at a senior level.
-Python is most important to have
Retail pricing expertise is ideal but not a requirement.
Senior Data Scientist, eCommerce Pricing
Description
The Merchandise Business Insight and Analytics team has responsibility for providing core retail merchandise, planning, analytics, and reporting systems to support the product lifecycle management and drive actionable insights for the Global Product Creation Group and a large community of business users across Category and Location Planning, Product Development, and operations functions for the Merchandise Businesses Globally.
Role
We are seeking a Sr. Data Scientist to lead dynamic pricing and optimization efforts for our clients e-commerce channel. This role will focus on developing and enhancing advanced price optimization models to deliver dynamic price recommendations that drive incremental margin and improve business performance. The ideal candidate will have deep expertise in statistical modeling, machine learning, and retail pricing strategies. This position plays a critical role in shaping data-driven pricing decisions that support revenue growth and company success.
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $101.35 - $101.35/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 hybrid position in Kissimmee,FL.
Application Deadline
This position is anticipated to close on Aug 4, 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.
Advanced degree (MS or PhD) in Mathematics, Economics, Data Science, Computer Science, Operations Research, or related field.
Business Acumen (4-6+ years): Ability to translate complex analytical insights into actionable pricing strategies; proven track record of partnering with cross-functional teams such as Merchandising, Finance, and Marketing to drive revenue outcomes.
Retail Pricing Expertise (4-6+ years): Proven experience developing and optimizing pricing strategies in a retail environment, including elasticity modeling, promotional lift analysis, and competitive pricing insights.
Advanced Statistical Modeling (4-6+ years): Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM) applied to pricing and demand estimation.
Experimental Design (5+ years): Proficiency in designing and analyzing pricing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of pricing changes.
Python Proficiency (5+ years): Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC.
SQL Expertise (5+ years): Strong command of SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines.
Data Storytelling (5+ years): Skilled in communicating data-driven recommendations to senior stakeholders through clear, concise storytelling and visualizations using tools like Power BI, Tableau, or matplotlib.
Required Education MS Computer Science, Operations Research
Additional Information Supporting a project with Disney store pricing work and analysis.
Location: 1st preference is Orlando, 2nd preference Glendale. Team is willing to consider candidates outside of the Glendale and Orlando area as well. Onsite requirement 4 days per week, Monday-Thursday if near a Disney location in Glendale or Orlando.
Must haves:
-Important to have pricing experience.
-Must have experience as a data scientist, technical ability to do analysis at a senior level.
-Python is most important to have
Retail pricing expertise is ideal but not a requirement.
Senior Data Scientist, eCommerce Pricing
Description
The Merchandise Business Insight and Analytics team has responsibility for providing core retail merchandise, planning, analytics, and reporting systems to support the product lifecycle management and drive actionable insights for the Global Product Creation Group and a large community of business users across Category and Location Planning, Product Development, and operations functions for the Merchandise Businesses Globally.
Role
We are seeking a Sr. Data Scientist to lead dynamic pricing and optimization efforts for our clients e-commerce channel. This role will focus on developing and enhancing advanced price optimization models to deliver dynamic price recommendations that drive incremental margin and improve business performance. The ideal candidate will have deep expertise in statistical modeling, machine learning, and retail pricing strategies. This position plays a critical role in shaping data-driven pricing decisions that support revenue growth and company success.
Experience Level
Intermediate Level
Pay and Benefits
The pay range for this position is $101.35 - $101.35/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 hybrid position in Kissimmee,FL.
Application Deadline
This position is anticipated to close on Aug 4, 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.