Senior Data Scientist

Company Description

Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more. 

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. 

Job Description

As a Senior 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 
• Work in Hadoop, Redshift, and Spark 

Qualifications

Must have:

• 5+ years of strong experience and knowledge of Python or R
• 5+ years of demonstrated knowledge of SQL, creating advanced queries in a high-impact role 
• Knowledge of statistics and machine learning techniques 
• Experience building data pipelines 
• Experience in marketing analytics, attribution modeling, or click-stream data analysis 

Highly preferred:

• Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline 
• Strong cloud experience with Azure, AWS, and/or GCP
• Experience working in the utilities industry
• Consulting experience

Additional Information

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

At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $157,000 - $166,000 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

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 

• PTO & Paid Holidays – 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 

• Referral Programs & Bonuses – Employee, project, and sales refer