Data Scientist

Now hiring! Data Scientist


Austin, TX

(On Site)

Relocation assistance provided

We are seeking a Data Scientist to join our trinamiX brand group within the BASF team, located in Austin, TX.


Come create innovative solutions with us!

trinamiX, a brand of BASF, is expanding into the United States to develop innovative solutions that unlock previously undiscovered opportunities. Our commitment is to redefine what’s possible by delivering technologies that empower industries, enhance lives, and drive progress through precision and reliability.

We are dedicated to improving decision-making and security with cutting-edge technology. By pioneering advanced sensing technologies, we aim to shape a smarter, more connected future where our solutions pave the way for innovation and growth.

As a Data Scientist, you will develop machine-learning-based material classifiers for the smartphone and automotive industries, conduct research on advanced deep learning architectures and training paradigms, build prototypes for our next generation of products that incorporate trinamiX's proprietary optics and biometric security technologies, and create real-world systems designed to operate effectively for hundreds of thousands of users.

As a Data Scientist, You Create Innovation By...

• Training and evaluating deep convolutional and vision transformer neural networks to enhance the accuracy, generalizability, and speed of our material classifiers.
• Conducting exploratory data analysis to develop models that align with product requirements.
• Performing hyperparameter tuning to optimize model performance.
• Collaborating with data engineers to design a robust and balanced dataset tailored to specific objectives.
• Contributing new technical ideas to advance our liveness roadmap.
• Performing code reviews and providing constructive feedback to fellow data scientists.
  
  

If you...

• Hold a Bachelor’s degree in Computer Science with a specialization in AI/ML or a related field.
• Bring over 2 years of experience in tackling machine learning challenges within a collaborative environment, particularly with real-world data, including image classification, object detection, segmentation, and embeddings.
• Possess experience in project management and coordination.
• Demonstrate strong proficiency in Python 3, PyTorch, and deep learning architectures.
• Exhibit analytical thinking, creativity, responsibility, initiative, and a hands-on approach.
• Be comfortable working in a Linux environment.
• Have experience with depth cameras and sensor data, along with familiarity in Pytest, Pandas, NumPy, MATLAB, and/or C++ (preferred).
  
  

Create your own chemistry with you@BASF

At BASF, you will have the chance to do meaningful work towards building a more sustainable future. In addition to competitive compensation and benefits, BASF provides you with access to a wide range of elements to help you be your best. It’s what we call

you@BASF. We are committed to providing benefits, programs, and opportunities that support our employees’ overall well-being, personal growth, and a safe, collaborative, and inclusive work environment.

Just some of the many benefits we offer include:

• Flexible work arrangements whenever possible
• Highly competitive retirement savings plan with company match and investment options
• Well-being programs that include comprehensive mental health support for you and your household family members
• Family forming benefits (fertility, adoption and surrogacy reimbursement, maternity/parental leave, and more)
• Back-up child and elder care with discount programs for families of all ages and stages
• Mentoring and career development opportunities that allow you to share, learn, and thrive
• Matching gifts program that allows you to deepen the impact of your contributions to qualified charities.
• Employee crisis support for when the unexpected happens
• Access to our BASF wine cellar, employee discounts, and much more!
  
  

Privacy statement

BASF takes security & data privacy very seriously. We will never request financial information of any kind via email, private text message or direct message on any social medial platform or job board. Furthermore, we will never send a candidate a check for equipment or request any type of payment during the job application process. If you have experienced any of the above, please contact [email protected] to report fraud.

Equal employment opportunities

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.

Applicants must be currently authorized to work in the United States on a full-time basis.