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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
Roles & Responsibilities
. 6+ years of experience in Machine Learning and Data Science.
Required Qualifications
Education
Experience
Preferred Experience
Skills & Abilities
.....
- 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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