Lead Data Scientist – AI Analysis

WHO OUR LEAD DATA SCIENTISTS ARE

• A self-directed problem solver who takes ownership, anticipates challenges, and drives solutions without needing detailed oversight.

• A strategic thinker who knows how to prioritize and balance long-term research with immediate business needs.

• A collaborative leader who excels at mentoring, empowering teams, and fostering a culture of excellence in AI/ML development.

• An effective communicator who can distill complex machine learning concepts into clear, actionable insights for diverse audiences.

This role is ideal for a highly motivated AI/ML expert who enjoys both hands-on technical work and leadership responsibilities. If you are passionate about shaping the future of AI-driven decision-making while guiding a talented team, this is the role for you.

WHAT YOU’LL BRING TO SPECTRUM

Required Qualifications

Experience:

• Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 7+ Years

• SQL/R/SAS Programming – 7+ Years
  

Education:

• Bachelor’s degree in computer science, statistics, or operations research, or equivalent combination of education and experience

Skills:

• Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, NLP, and statistical modeling

• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries like spaCy or Hugging Face Transformers

• Proficiency in programming languages such as Python, R, or SQL for data analysis and model development.

• Experience with advanced statistical modeling, feature engineering, and optimization techniques

• Expertise in developing and deploying ML models in cloud environments (Azure, AWS, or similar)

• Strong understanding of MLOps, model deployment, and performance monitoring in production

• Experience working with large-scale data processing frameworks such as Apache Spark or Databricks.

• Strong understanding of forecasting techniques, scenario modeling, and optimization algorithms

• Expertise in sales and marketing analytics, including customer segmentation, attribution modeling, and demand forecasting

• Experience with AI-driven competitive intelligence, leveraging web scraping, NLP, and social media analytics to track industry trends

• Ability to work with cloud-based data storage and ETL solutions

• Strong analytical and problem-solving skills with a data-driven approach

• Experience leading large-scale DS and anlystics projects and stakeholder engagement

• Experience with executive communications and verbal / written communication skills

• Understanding of UX design principles for AI-driven dashboards and business intelligence applications.

Travel: As required (10%)

Preferred Qualifications

Experience:

• Hands-on experience in designing and deploying AI solutions using Microsoft Azure ML, Databricks, AWS, Redshift, and Fabric.

Education:

• Master’s degree in related field

Knowledge:

• Other relevant tools such as SAS, SPSS, Alteryx, Linux; Other relevant techniques such as text analysis and text mining; Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop