In a nutshell
We are joining efforts with a major telecommunications company to improve their customer care environment through the power of machine learning and artificial intelligence. Using recommendation engines, we are expanding the capabilities of our virtual agent to decrease customer call times and effectively serve thousands of monthly conversions. You will have the opportunity to leverage your enthusiasm and passion for customer experience with our underlying data pipeline to create a predictive and personal expert assistance service.
As a Data Scientist on this project, 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, Director, Advanced Analytics
About you

• You're curious by nature and love learning about new programming languages, algorithms, and applications
• You're well-versed in machine learning and have developed solutions in Python, SQL, and/or R
• You can discuss past projects and experience working with recommendation engines, clickstream data, and information retrieval
• You relish the opportunity to broaden your scope into the realms of data engineering and data visualization and exude a willingness to learn
• You can build models of customer satisfaction that provide detailed insight into what drives customer actions
• You research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making
• You work in Hadoop, Redshift, or Spark
• You can easily translate business and product questions into analytics projects

Qualifications

• Good knowledge of SQL (5+ years) creating advanced queries in a high-impact role
• Knowledge of statistics and machine learning techniques
• 5+ years building statistical models, performing evaluations, and making feature selections
• Knowledge of the latest NLP techniques
• Knowledge of R or Python (5+ years) as well as AWS and Spark
• Knowledge of C# (at least 1 year)
• Experience building data pipelines
• A portfolio of NLP projects to showcase and discuss
• Experience in marketing analytics, attribution modeling, or clickstream data analysis
• Master's degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline

We'd also be super-impressed if you also have

• Demonstrated experience deploying models with Docker or another exemplary experience for that "wow" factor

About Logic20/20
We're a five-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.