Senior Data Scientist at Trace3
San Antonio, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

21 Jul, 25

Salary

148000.0

Posted On

21 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Deep Learning, Computer Science, Statistics, Python, Critical Thinking, Unsupervised Learning, Information Technology

Industry

Information Technology/IT

Description

Who is Trace3?
Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.
Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!
Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.

POSITION SUMMARY

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.
This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications. Ideal candidate will be located in San Antonio, TX, Findlay, OH, or Denver, CO.

EDUCATION AND EXPERIENCE

  • Bachelor’s Degree in Information Technology or related field required.
  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred
  • 5+ years of relevant experience required.
  • Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.
  • Strong problem-solving, critical thinking, and analytical capabilities.
Responsibilities
  • Leads multiple data science projects ensuring alignment with business goals.
  • Develops predictive models and integrates them with Business Intelligence tools.
  • Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale.
  • Mentors junior data scientists in model development and data handling.
  • Engages with Senior Leadership to inform strategic decisions using business intelligence insights.
  • Researches and adopts cutting-edge technologies and methodologies in data science.
  • Manages stakeholder expectations and delivers actionable solutions.
  • Oversees data processing pipelines ensuring data quality and consistency.
  • Drives ethical considerations in model deployment and data utilization.
  • Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.
  • Performs exploratory data analysis to identify patterns, insights, and communicate findings.
  • Engage in the ideation and prototyping of new solutions to meet emerging business requirements.
  • Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.
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