Data Scientist

TECHNOLOGY PARTNERS INC; Clayton (MO); On-site; USD 140,405,000 - 200,579,000; Full time

Job summary

Technology Partners is seeking a Data Scientist – Revenue Management to develop and deploy deep learning models that optimize revenue. You will extract and clean data from multiple sources, perform exploratory analysis, and build predictive models to forecast demand with granular accuracy.

The role emphasizes clear documentation and cross-functional collaboration. You should have 2+ years in predictive modeling and a Master’s degree, with TensorFlow/PyTorch expertise and strong presentation

Qualifications

• 2+ years of experience with predictive modeling, statistical inference, and deep learning.
• Proficiency in Python or R for data analysis and modeling tasks.
• Hands-on experience with deep learning libraries such as TensorFlow or PyTorch.
• Master’s Degree required; Doctorate preferred.
• Experience delivering presentations to technical and non-technical audiences.
• Ability to extract, manipulate, and analyze data from multiple sources and formats.
• Knowledge of SQL, Linux/Unix, and data visualization techniques.
• Authorized to work in the United States without sponsorship now or in the future.
• Reside in St. Louis, Missouri or the immediate surrounding area.

Responsibilities

• Develop and deploy deep learning models to forecast demand and optimize revenue.
• Extract, clean, and manipulate data from multiple sources.
• Perform exploratory data analysis to identify patterns and insights.
• Build predictive models to support strategic decisions.
• Design and oversee experiments; ensure accurate interpretation of results.
• Apply causal inference techniques using observational data.
• Document methodologies, findings, and recommendations clearly.
• Deliver reports and presentations for technical and non-technical audiences.
• Partner with cross-functional teams to operationalize analytical solutions.
• Ensure data security and incorporate security best practices.

Skills

Predictive modeling

Statistical inference

Deep learning

Data analysis

Data visualization

Presentations

Causal inference

Data extraction

Python

R

SQL

Linux

Education

Master's Degree in a relevant field

Doctorate Degree preferred

Tools

TensorFlow

PyTorch

Python

R

SQL

Linux

Job description

Technology Partners is currently seeking a talented Data Scientist – Revenue Management.

Do you have experience designing and deploying deep learning models using tools like TensorFlow or PyTorch, along with strong predictive modeling skills?

Let us help you make your next big career move a reality!

What You Will Be Doing:

You will work within the data science team to develop and deploy advanced models that support revenue optimization. You will collaborate with cross-functional teams to interpret data and deliver actionable insights. Your responsibilities include extracting and cleaning data from various sources, performing exploratory analysis, and developing predictive models to forecast demand at a granular level. You will design experiments, apply causal inference techniques, and ensure clear documentation of methodologies and results. You will also create reports and presentations tailored for both technical and non-technical audiences, operationalizing analytical solutions to foster business growth. This position is a 6-month contract.

Key Responsibilities:

• Develop and implement deep learning models to forecast demand.
• Extract, clean, and manipulate structured and unstructured data from multiple sources.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Build predictive models to support strategic decision-making.
• Design and oversee experiments, ensuring accuracy and proper interpretation of results.
• Apply causal inference techniques using observational data to uncover relationships.
• Document methodologies, findings, and recommendations clearly.
• Deliver reports and presentations that communicate complex insights to diverse audiences.
• Partner with cross-functional teams to operationalize analytical solutions.
• Ensure data security and incorporate security best practices into all analytic activities.

Required Skills & Experience:

• 2+ years of experience with predictive modeling, statistical inference, and deep learning.
• Proficiency in Python or R for data analysis and modeling tasks.
• Hands-on experience with deep learning libraries such as TensorFlow or PyTorch.
• Strong background in statistical or mathematical fields, with a Master’s Degree required; a Doctorate Degree is preferred.
• Experience preparing and delivering presentations to technical and non-technical audiences.
• Ability to extract, manipulate, and analyze data from multiple sources and formats.
• Knowledge of SQL, Linux/Unix, and data visualization techniques.
• Authorized to work in the United States without sponsorship now or in the future.
• Reside in St. Louis, Missouri or the immediate surrounding area.

Desired Skills & Experience:

• Experience designing experiments and exploring data visually.
• Familiarity with causal inference techniques such as matching or weighting.
• Exposure to working with observational data for causal analysis.
• Experience working with diverse data formats and sources.

Pay:

$49.00 – $70.00 /hr

Keywords: deep learning, predictive modeling, TensorFlow, PyTorch, Data Scientist, revenue management, causal inference, Python, SQL, St. Louis

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

If this position sounds like you, WE SHOULD TALK! Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go! Looking for more opportunities with Technology Partners? Check out technologypartners.net/jobs!

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.