Data Scientist - Computer Vision

We’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you.

We thrive as One Team, built on values: 

• We Foster a Culture of We by prioritizing connection and collaboration.  
• We Drive toward Excellence by investing in professional growth and cultivating thought leadership. 
• We Act with Integrity by doing the right thing and bringing our best selves to the table.  

To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. 

As a Data Scientist joining Logic20/20’s Advanced Analytics practice, you’ll transform data into powerful insights capable of driving enlightened decision-making. You’ll work closely with the client to understand their business needs, then frame those needs as statistical problems and solve them with leading-edge methodologies. Along the way, you’ll be a part of a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skillsets in creating world-class solutions. 

What you’ll do:

• Learn and deploy new programming languages, algorithms, and applications 
• Quantify the value of existing data and provide roadmaps for future development
• Model knowledge of machine learning techniques and develop solutions in Python, SQL, and/or R 
• Grasp opportunities to broaden your scope into the realms of data engineering and data visualization 
• Build models of customer satisfaction that provide detailed insight into what drives customer actions 
• Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making 

Must have:

• 5+ years of strong Python experience
• 2+ years of experience developing and deploying Computer Vision models that operate at scale
• Cloud experience with Azure, AWS, and/or GCP
• Experience building statistical models 
• Knowledge of statistics and machine learning techniques 
• Experience building data pipelines 
• Strong verbal and written communication skills

Preferred:

• Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline 
• Experience working in the utilities industry
• Consulting experience

Compensation range: $120,000-$162,000 annually

All your information will be kept confidential according to EEO guidelines.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values. 

Equal Opportunity Statement 

We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. 

To learn more about our DE&I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion  

Privacy Policy 

During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.