Principal Data Scientist (Remote)

JOB SUMMARY:

As a Principal Data Scientist at Trace3, you will lead advanced AI pre-sales opportunities, cutting-edge research, and novel algorithm development. You are comfortable experimenting with cutting-edge approaches, developing proprietary models that solve complex challenges, and apply 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, and the ability and comfort in navigating open-ended complex problems. You will serve as a trusted advisor to our clients, helping them navigate their AI journey while delivering measurable business value

This role requires a strong foundation in data science methodologies, business process optimization, and consultative problem-solving.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Lead advanced AI opportunities, cutting-edge research, and advanced algorithm development.
• Lead process improvement initiatives using data-driven approaches, including workflow optimization and operational efficiency analysis.
• Serve as a consultant and executive peer, providing strategic execution and guidance.
• 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.
• Provide thought leadership and contribute to blogs, whitepapers, and internal training initiatives.
• Provide guidance and contribute to the growth of Trace3’s internal Center of AI.
• Lead discovery workshops and requirements gathering sessions with clients to understand their business challenges.

REQUIRED SKILLS AND EXPERIENCE:

• Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field
• 6+ years of experience in data science and business consulting related roles, with demonstrated success in delivering end-to-end solutions.
• Experience with cloud platforms (Microsoft Azure, AWS, GCP) and data/ML platforms (ex. 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.
• Expertise in statistical analysis tools and machine learning frameworks.
• Demonstrated ability to evaluate ideas and qualify them as AI-ready use cases.
• Strong project management skills with ability to lead complex, multi-stakeholder initiatives.
• Understanding of generative AI solution concepts, such as Retrieval Augmented Generation (RAG), fine-tuning, and agentic workflows.
• Excellence in business communication and presentation skills.
• Demonstrated success in consulting environments with direct client interaction.

PREFERRED SKILLS AND EXPERIENCE

• Master’s 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
• Knowledge of AI governance and ethical considerations in business AI applications
• Experience leading process improvement initiatives using AI
• Familiarity with agile methodologies and iterative solution development
• Experience in consulting roles