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Data Scientist

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Sandeep Kanchi
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 82656 - 137760 USD Yearly USD 82656.00 137760.00 YEAR
Job Description & How to Apply Below

Job Title:

Data Scientist

Location:

Onsite (Dallas, TX or Cary, NC)

Duration:
Contract

Key Responsibilities
  • Lead a team of Data Scientists in designing and delivering AI/ML solutions for business and marketing use cases.
  • Drive technical decision‑making, project execution, and production stability within assigned domains.
  • Partner with business stakeholders to identify opportunities and align data science initiatives with organizational objectives.
  • Design, develop, train, and optimize Machine Learning and Deep Learning models.
  • Analyze large and complex datasets to identify patterns, trends, and actionable insights.
  • Collaborate with cross‑functional teams to implement data‑driven solutions.
  • Develop and deploy AI capabilities through APIs, SDKs, and microservices.
  • Create dashboards, reports, and presentations to communicate insights and recommendations to stakeholders.
  • Build statistical models and machine learning algorithms using Python and cloud‑based technologies.
  • Implement MLOps best practices to ensure scalability, reliability, and efficient model deployment.
  • Stay current with advancements in Artificial Intelligence, Machine Learning, and Data Science.
Required Skills
  • Strong experience in Data Science, Machine Learning, and Artificial Intelligence.
  • Expertise in Python and data science libraries.
  • Experience with Deep Learning frameworks.
  • Strong knowledge of statistical modeling and predictive analytics.
  • Experience working with cloud platforms, preferably Azure.
  • Knowledge of MLOps, model deployment, monitoring, and automation.
  • Experience developing APIs, SDKs, and microservices.
  • Strong data visualization and stakeholder communication skills.
  • Experience leading technical teams and mentoring data scientists.
  • Ability to work collaboratively with business and technical stakeholders.
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