Director of Data Science

Digital ads drive over 100 billion phone calls to U.S. businesses every year… Surprisingly, the marketers who paid for those ads typically have zero insight into these customer interactions and conversions. As the market leader in call analytics and customer experience optimization, DialogTech provides marketers with an end-to-end call attribution and analytics platform. This enterprise-class solution delivers transparency and control over every conversation, so companies can optimize lead generation, map the full path to conversion, and increase sales conversions.
 
Thanks to smartphones, consumers are calling businesses to engage in conversations at record rates throughout every step of the customer journey, and at DialogTech we are changing the world of voice communications for our customers. We enable our customers to better attribute, route, personalize, and handle their voice interactions at each stage of the marketing and sales processes.
 
You will play a meaningful role in our mission to revolutionize how brands use consumer conversations to deliver better business results. Using a combination of our own internal labeling team, marketing and customer management intelligence, and millions of conversational transcripts, we unlock insights for our clients who are focused on sales and marketing. We have been first to market in this space, and we are constantly evolving our portfolio of products to continue to drive value. 
 
As the Director of Data Science, you will be responsible for continuing this process of innovation, working with the team to deliver creative solutions using the latest techniques from across the spectrum of AI applications. 
 
Responsibilities:
 
  • Lead the data science and data labeling team in identification, experimentation, and execution of data analytics products. 
  • Define new data science products based on structured and unstructured data, especially call transcripts and call audio. 
  • Deeply understand and drive innovation in techniques including natural language processing, machine learning, deep learning, authority systems, anomaly detection, and unsupervised learning. 
  • Evaluate the evolving and dynamic landscape of potential technology partners for integration into our platform and our solutions. 
  • Real passion for collaborating with customers directly, both our business partners and their data science teams, to understand business goals and constraints, and to ensure access to the data we need to build models that drive bottom line impact and improvements for them.
  • Collaborate with Software Engineering teams in the productionization of models.
  • Work with our Operations team on data retention and data preparation processes to ensure we have the foundations to innovate and deliver market leading solutions. 
  • Promote the role of our data science capabilities internally and externally with our customers, at conferences, and with industry analysts. 
 
Qualifications:
 
  • 5+ years of experience leading teams of data scientists, engineers, and other data and analytics professionals using analytics and software development processes for NLP and machine learning on unstructured data. 
  • Proven understanding of advanced techniques in statistics and predictive analytics.
  • Ability to collaborate with the Product Management team, and customers directly, to conceptualize business goals, objectives, and constraints in the development of new products and solutions. 
  • Expertise in delivering projects with strong knowledge of data discovery, cleaning, model selection, validation, and deployment.
  • Excellent interpersonal skills to communicate technical concepts to a non-technical audience.
  • Proven ability to quickly evaluate and understand new concepts and technologies and adapt to changes and demands in a fast-paced, dynamic environment.
  • Fluency in Python and proficiency in AI related frameworks like NLTK, Scikit-learn, Tensorflow, Keras. Exposure working in a Linux/Unix environment and with source code control systems like Git. Experience working in AWS. 
  • Familiarity with multiple data storage platforms including MySQL, RDS, Dynamo, Elastic, and Redis.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree in related field preferred. 
 
Join us at one of the Best Places to Work in Chicago and nationally, 10 times running, Chicago Tribune's Top 100 Workplaces company and a 2017 Crain's Fast 50 company. 
 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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