LINQX · 1 month ago
Senior Data Scientist
Houston, Texas, United States
Full-time
Onsite
Senior LevelLinqx is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector. They are seeking an experienced Data Scientist to develop and deploy advanced generative AI models, collaborating with cross-functional teams to drive data-driven decisions and innovations across the organization.
Business Process Automation (BPA)ConsultingDigital Signage
Responsibilities
Design, implement, and deploy advanced machine learning models and algorithms, particularly in Generative AI (e.g., GANs, transformers, diffusion models)
Leverage deep learning frameworks (such as TensorFlow, PyTorch, or JAX) to build and train state-of-the-art models for natural language processing (NLP), computer vision (CV), and other generative tasks
Collaborate with engineering teams to ensure seamless integration of AI/ML solutions into production environments, optimizing for performance and scalability
Work with technology and business leaders to evolve data-driven vision, communication channels, and all supporting documentation
Utilize advanced statistical techniques and data modeling methods to analyze large, complex datasets and provide actionable insights
Develop data pipelines for cleaning, processing, and transforming raw data into structured formats suitable for machine learning applications (i.e. familiarity with Lakehouse deployment/governance on Medallion architecture)
Design, build, and maintain efficient and scalable data architectures and data storage solutions
Work on end-to-end machine learning workflows, including data preprocessing, feature engineering, model training, evaluation, and deployment
Continuously evaluate and optimize model performance and contribute to improving the overall AI/ML infrastructure and processes
Mentor and/or manage junior data scientists and engineers, fostering a culture of collaboration and continuous learning
Stay updated on the latest advancements in AI/ML research and apply innovative techniques to solve business problems
Document and communicate findings and solutions clearly to both technical and non-technical stakeholders
Participate and potentially drive data-specific technology selection activities
Qualification
Required
Master's or PhD in Computer Science, Data Science, Engineering, or a related field, with a focus on machine learning, AI, or data engineering
Proven expertise in Generative AI, including experience with techniques such as GANs, VAEs, transformers, RAGs, and other advanced AI and deep learning models
Strong proficiency in programming languages like Python, R, or Julia, and hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
Extensive experience with data engineering, including data wrangling, ETL processes, data storage, and real-time data processing
In-depth knowledge of machine learning algorithms, deep learning, and statistical modeling techniques
Familiarity with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Hadoop)
Experience in designing and optimizing data architectures for both batch and real-time data flows
Proficient with database systems (SQL, NoSQL) and data query languages
Strong problem-solving, analytical, and critical-thinking skills with the ability to work independently or as part of a team
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Preferred
Knowledge of NLP and CV applications, including experience with large-scale pre-trained models like GPT, BERT, or DALL·E
Expertise in model deployment and monitoring in production environments (e.g., Docker, Kubernetes, MLflow)
Experience with version control systems (e.g., Git) and software development best practices
Familiarity with DevOps practices and CI/CD pipelines for machine learning projects
Published research in top-tier conferences or journals related to AI/ML or Generative AI
Benefits
Competitive Compensation Package
Medical + Dental + Vision Coverage
401K + Company Match
Life Insurance + Long Term Disability Coverage – 100% Company Paid
Health Savings Account (HSA)
Gym Reimbursement Program
Tuition Reimbursement Program
Wellness Check Program - Insurance Premium Discounts
EAP Resources
Paid Holidays
Paid Time Off (PTO)
Company
LINQX
Linqx provides cloud-based software solutions to optimize well construction, stimulation, and operations in the oil and gas industry.
Founded in 1992
11-50 employees
H1B Sponsorship
LINQX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase