Data Scientist

Benefits:

• HYBRID
• Competitive salary
• Opportunity for advancement
• Training & development

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

Required Qualifications

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.

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