Jim Olness
Director of Data Science & AI at Achieve
- Role
- Director of Data Science & Ai at Achieve
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Jim Olness
I\'m an entrepreneurial leader with an eye for opportunity and a drive to innovate. I\'ve always had a talent for using data to overcome tricky challenges. As my career has progressed, I\'ve developed an ever-increasing ability to leverage my skills for maximum impact. I\'ve built high-performing data science and analytics teams at multiple venture-backed companies, and have deployed machine learning and AI models driving hundreds of millions of dollars of revenue and expenditures.Marketing Optimization | Experimentation Platforms | Recommendation Systems | Causal Inference | Product Development | Analytics | Business Intelligence | Talent Development
Experience
Director of Data Science & Ai
Jan 2021 — Present · San Francisco, CA, US
Leader of centralized data science function supporting marketing, sales, product, and client service. Rebuilt and repositioned the team as a strategic partner accountable for business outcomes. Spearheaded development of AI coaching system serving 500-member sales team. Incubated additional AI systems now in production, including call-transcript monitoring and SMS-routing system. Instituted Bayesian experimentation platform, brought rigor to experimentation process, drove material increase in pace of testing. Deployed lead scoring models for all our business units, optimizing lead flows worth $100 million per year and driving incremental revenue of $2 million per year vs. next-best alternative. Built in-house model observability platform when commercial tools disappointed on price and ease of use. Established data science team as company-wide strategic partner.
Education
Massachusetts Institute of Technology
MS, Theoretical Physics
University of California, Berkeley
BA, Mathematics
Skills
- Enterprise Software
- Customer Analysis
- Databases
- Business Analytics
- Mobile Devices
- Financial Modeling
- Machine Learning
- Quantitative Models
- Project Management
- Data Integration
- Tableau
- Strategy
- Consulting
- Business Intelligence
- Analytics
- Data Mining
- Cloud Computing
- Management
- Software as a Service (Saas)
- Data Modeling
- R
- Business Analysis
- Start-Ups
- Crm
- Big Data
- Saas
- Investments
- Financial Analysis
- Data Analysis
- Segmentation
- Database Design
- Customer Relationship Management (Crm)
- Leadership
- Data Warehousing
- Sql
- Business Intelligence Tools
- Analysis
- Predictive Analytics
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