Data Science Leader for AI Innovation

4 weeks ago

San Francisco, California, United States Tbwa ChiatDay Inc Full time

Trace3 is a leading IT authority, providing unique technology solutions and consulting services to its clients. With elite engineering and dynamic innovation, it empowers IT executives and their organizations to achieve competitive advantage through a process of integration, automation, and innovation.

The company's culture embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their careers and have fun while doing so.

Headquartered in Irvine, California, Trace3 employs over 1,200 people across the United States. Major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, and San Francisco.

A rewarding career awaits those who are passionate about data science and artificial intelligence.

Job Summary:

As a Principal Data Scientist at Trace3, you will lead cutting-edge AI pre-sales opportunities, advanced research, and novel algorithm development. You will be comfortable experimenting with innovative approaches, developing proprietary models that solve complex challenges, and applying expertise beyond machine learning, such as prescriptive modeling/optimization, simulations, and causality.

Your role will involve strategic execution, requiring knowledge of scientific processes and cutting-edge research, as well as the ability to navigate open-ended complex problems. You will serve as a trusted advisor to clients, helping them navigate their AI journey while delivering measurable business value.

Key Responsibilities:
  • Lead advanced AI opportunities, cutting-edge research, and advanced algorithm development.
  • Implement process improvement initiatives using data-driven approaches, including workflow optimization and operational efficiency analysis.
  • Provide strategic guidance and execution as a consultant and executive peer.
  • Transform business requirements into structured analytical approaches, ensuring alignment with client objectives.
  • Create and implement machine learning/algorithmic solutions for business processes.
  • Collaborate with stakeholders across industries to solve complex business challenges through data-driven approaches and innovative analytical solutions.
  • Deliver compelling presentations and workshops to stakeholders, translating technical concepts into business value.
  • Guide clients in developing AI-driven strategies that align with their organizational goals.
  • Identify opportunities for process optimization and automation through advanced analytics.
  • Collaborate with engineering and product teams to integrate models and solutions into production environments.
  • Provide mentorship and leadership within the AI Consulting and Technology team, elevating the growth and maturation of Trace3's data science and AI capabilities.
  • Contribute to thought leadership and internal training initiatives.
Requirements:
  • Masters degree in Data Science, Computer Science, Statistics, Economics, or a related field.
  • 6+ years of experience in data science and business consulting roles, with demonstrated success in delivering end-to-end solutions.
  • Experience with cloud platforms (Microsoft Azure, AWS, GCP) and data/ML platforms (e.g., Databricks, DataRobot, SageMaker, Azure Machine Learning, Jupyter, Domino).
  • Strong foundation in scientific processes and applying cutting-edge methods to solve business problems.
  • Proficiency in programming languages such as Python or R for exploratory analysis, feature engineering, model development, and external API integration.
  • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with process modeling, simulation, and optimization techniques.
  • Demonstrated ability to evaluate ideas and qualify them as AI-ready use cases.
  • Strong project management skills with the ability to lead complex, multi-stakeholder initiatives.
  • Understanding of generative AI solution concepts, such as Retrieval Augmented Generation (RAG), fine-tuning, and agentic workflows.
Preferred Qualifications:
  • Masters degree or Ph.D in Data Science, Computer Science, Statistics, Economics, or a related field.
  • Domain knowledge in a specific industry vertical (manufacturing, healthcare, finance, etc.).
  • Knowledge of process improvement methodologies (Six Sigma, Lean, etc.).
  • Experience with operations research and optimization techniques (linear optimization, MIP, etc.).
  • Experience with business intelligence and visualization tools.
  • Understanding of change management principles and organizational dynamics.
Compensation:

The estimated salary range for this position is $220,000 - $260,000 USD per year, depending on factors like location, experience, and performance. This figure includes potential bonus or commission compensation.

Benefits:
  • Comprehensive medical, dental, and vision plans for employees and dependents.
  • 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability.
  • Competitive Compensation.
  • Training and development programs.
  • Stocked kitchen with snacks and beverages.
  • Collaborative and cool culture.
  • Work-life balance and generous paid time off.

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