Tech Prof-Software Develop, Sr

Date:  Jun 6, 2024

Conroe, TX, US, 77385

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.



Halliburton Energy Services, Inc.


Job Title:                                                    

Tech Prof-Software Develop, Sr


Job Location:                                             

16548 Donwick Dr, Conroe, TX 77385


Responsibilities include:

Responsible for defining requirements, functional specifications and testing documentation for engineering software applications, which varies in scope and complexity. Ensures that the Technical Software Development Process is followed on development projects. Works with others to improve the process. Designs, codes, tests, troubleshoots, and documents engineering software applications. Works as part of a project team or as a leader of a defined section of a major project. Develops project plans, functional specifications, and schedules. Assists in determining product needs and enhancements. Typical project assignments will have moderately broad impact, primarily focusing on the next release of software, although some projects may have architectural implications beyond the next release. Role impacts cost containment, efficiency, profitability or operations.   



Employer will accept a Bachelor's degree in Computer Science, Electrical Engineering or related field and 4 years of experience in the job offered or in a Software Development, Data Scientist, or Data Analyst related occupation.


Position requires experience in the following:


1.            Experience in the field of data science, machine learning, statistical modeling, computer vision and underlying algorithms.

2.            Experience with Machine Learning Algorithms, Techniques, and their applications (clustering, decision trees, Random Forest, Logistic & Linear regression, Gradient boosted trees, etc).

3.            Experience with Data cleaning, feature engineering, predictive analysis, exploratory data analysis, and other areas of data science.

4.            Experience applying quantitative and qualitative Image Processing methods.

5.            Experience with Deep Learning for Computer vision applications such as Image classification, Object detection, Image segmentation, etc.

6.            Experience with Neural Networks, Convolutional Neural Networks, FasterRCNN, and deep neural networks algorithms.

7.            Experience with Python (Pandas, NumPy, OpenCV), R and other programming languages appropriate for large scale analysis of numerical and image data.

8.            Experience with machine learning and deep learning frameworks/libraries such as Tensorflow, Keras, Scikit-learn and Pytorch

9.            Experience with SQL and other data querying language



To apply, visit and enter #187230 in “search by keyword” field. If offered employment, must have legal right to work in U.S. EOE, including disability/veterans. 




Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.



16548 Donwick Drive, Conroe, Texas, 77385, United States


Job Details

Requisition Number: 187230  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Drill Bits and Service  
Full Time / Part Time: Full Time

Additional Locations for this position: 


Compensation Information
Compensation is competitive and commensurate with experience.

Nearest Major Market: Houston

Job Segment: Data Analyst, Testing, Developer, Computer Science, SQL, Data, Technology