Data Scientist

Job Description

Job Description

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 DallasFort 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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