Senior Data Scientist

Company Description

We’re a seven-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. Because we’re a full-service consulting firm with a diverse client base, you can count on a steady stream of opportunities to work with cutting-edge technologies on projects that make a real difference. Logic20/20's Global Delivery Model creates a connected experience for Logicians across geographies. You'll have access to projects in different locations, the technology to support Connected Teams, and in-person and online culture events in our Connected Hub cities.

Job Description

As a Senior Data Scientist at Logic20/20, you’ll transform mountains of 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 collaborate daily with 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.  

About the Team

The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it’s all in a day’s work. As part of our team, you’ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you’re ready to level up in your career, you’ll have access to the training, the project opportunities, and the mentorship to get you where you want to go.  

“We build an environment where we really operate as one team, building up each other’s careers and capabilities.” – Adam Cornille, Senior Director, Advanced Analytics  

Qualifications

• 5+ years of experience building and deploying statistical models in a production environment
• Expert knowledge of Python 
• 3+ years of using SQL to create advanced queries in a high-impact role  
• Knowledge of statistics and machine learning techniques  
• Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline  

Preferred Qualifications:

• Experience working in the Utilities industry
• Experience with cloud deployment

Additional Information

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

Compensation range: $160,000-$195,000, depending on experience

About Logic20/20 

To learn more about Logic20/20, please visit: https://www.logic2020.com/careers/life-at-logic  

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. 

Logic20/20 Benefits

Why Logic20/20? It’s our goal to be one of the best companies to work for. One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k). 

You will have 

• Career Development – A built-in program from day 1, providing a mentor and individually-directed training opportunities, plus access to leaders across the company 

• PTO, Paid Holidays, & Voluntary Leave – Worry-free time off to recharge and pursue your personal goals 

• Community & Committees – As part of our “Culture of We,” Logic20/20 invests in providing many social, interest, and learning opportunities 

• Recognition – From peer recognition, swag, and the chance to win a once-in-a-lifetime type of award, we make your Logic20/20 journey stand out 

• Referral Programs & Bonuses – Employee, project, and sales referral programs with paid incentives  

Equal Opportunity Statement 

We believe that people should be celebrated: for their talents, ideas, and skills,