Data Scientist

Job Title: Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must be authorized to work in the U.S Work Arrangement

• Hybrid work model: primarily remote within the Dallas-Fort Worth area.
• Occasional on-site presence required for meetings, training, or business needs.
• Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. * Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. * Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). * Experience in building Asynchronous Python APIs. * Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. * Proven experience in developing and deploying machine learning models in a production environment. * Experience working with large datasets and performing data analysis

Education

• Bachelor’s degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience. Experience

• Advanced experience in data science, machine learning, AI, or optimization projects.
• Proficiency in Python and SQL.
• Strong understanding of statistical methods, experimental design, and model validation.
• Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).

• Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience

• Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).

• Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics. Skills & Abilities

• Ability to independently manage and deliver on complex projects.
• Strong problem-solving and critical thinking skills.
• Effective communication skills for both technical and executive audiences.
• Ability to adapt quickly to changing priorities and new technologies.
• Strong interpersonal and collaboration skills.