Develop and maintain predictive models for pipeline conversion, case-volume forecasting, account growth signals, and market dynamics, ensuring high accuracy and reliability
Integrate internal Salesforce data with external datasets to identify leading indicators and performance drivers, enhancing commercial intelligence
Create clear, business-ready insights and visualizations for Strategy, Finance, and ELT reviews, turning statistical results into actionable recommendations
Partner with the AI Engineer on ML/LLM-enabled automation and signal detection, leveraging cutting-edge techniques to optimize workflows
Establish analytical standards, including model validation, reproducibility, and documentation practices to ensure robustness and scalability

Requirements

Bachelor’s Degree in Computer Science, Engineering, Biostatistics, or other scientific field with 6 years of experience including either industry or industry/education
Master’s Degree in Computer Science, Engineering, Biostatistics, or other scientific field with 5 years of experience including either industry or industry/education
Ph.D. in Computer Science, Engineering, Biostatistics, or other scientific field with 2 years of experience including either industry or industry/education
Strong proficiency in Python, predictive modeling, time-series forecasting, causal inference, and feature engineering
Comfortable working with messy CRM and commercial datasets (e.g., Salesforce) and integrating multiple data sources
Excellent ability to translate complex statistical outputs into compelling, clear narratives
Experience with ML/LLM model development, workflow automation, and a solid understanding of model validation and reproducibility standards
Proven track record of providing technical guidance and raising analytical standards among peers and junior team members
Experience in data visualization tools (i.e. Power BI, Tableau, etc.)
Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
Excellent documentation and communication skills
Excellent interpersonal relationship skills including negotiating and relationship management skills
Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
Experience with using web services (e.g., Redshift, S3, Spark, etc.)
Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)
Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com)
Proven successful project management skills
Strict attention to detail
Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management in the organization
Ability to manage competing priorities in a fast-paced environment

Benefits

📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonpredictive modelingtime-series forecastingcausal inferencefeature engineeringML/LLM model developmentmodel validationreproducibilitystatistical techniquesdata visualization

Soft Skills

communication skillsinterpersonal relationship skillsnegotiating skillsrelationship management skillsattention to detailproject management skillsability to manage competing prioritiestechnical guidancetranslating complex outputscollaboration