Lead Data Scientist

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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 data-driven 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.

We are looking for a highly-motivated, Senior level Data Scientist with strong analytical skills to join our Data Science team. This work will be challenging, dynamic, and rewarding. You will be able to capitalize on the rich unstructured data collected by our platform. 

Responsibilities: 
 

  • Crafting experiments that drive engagement and other goals.
  • Solution design for advanced NLP problems.
  • Working with customers and product owners to identify issues. 
  • Visualizing results effectively to tell a narrative using data. 
  • Assume ownership of challenging projects and drive innovation throughout several departments. 
    • Provide mentorship to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. 
  • Be responsible for the development and implementation of machine learning algorithms and techniques to tackle problems and optimize the product. 
  • Dream to work within a collaborative, team-driven environment. 

Required Experience: 
 

  • 3+ years of professional experience in Data Science. 
  • Understanding of the scientific process and experiment design. 
  • Ability to provide thought leadership around machine learning and artificial intelligence. 
  • Python skills: Modules, Objects/Classes, package installation. 
  • Experience with dataframes (pandas), machine-learning (scikit-learn).
  • Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. 
  • Bachelor of Science in Statistics or Computer Science/Engineering, or similar fields. 
  • Familiarity with SQL queries and relational databases. 
  • Strong Math skills: statistics, probability, and linear algebra. 

The nice-to-haves: 
 

  • Master’s degree in Analytics/Data Science/Computer Science or related field (preferred). 
  • Experience with Digital Marketing domain, Google Analytics, Adwords, etc. 
  • Familiarity with cloud computing (AWS preferred), clusters, etc. 
  • Familiarity with Map-Reduce, Hadoop, Hive, or Spark. 
  • Familiarity with SparkML, MXNet, or Mahout. 
  • Experience with at least Tensorflow and/or Keras. 
  • Familiarity with ElasticSearch, or similar search server. 

This position is on a team that is driving innovation within the company, working on rapid prototypes and research. If you love learning, engaging in pragmatic thinking, and critical reasoning within a diverse team, this is the role for you. 

Why DialogTech?
 

At DialogTech, we hire SWANs - Smart, hard Working, Ambitious, and Nice people – we make every minute count and have fun doing it. Be a part of a team pushing the boundaries of technology. Join us at one of the nation's Best and Brightest Companies, 6 years running, a 101 Best Places to Work in Chicago and an Inc. 500 fastest growing 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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Location

Right across the street from Union Station. A short walk to all CTA train and bus lines. And down the street from Ogilvie Train Station.

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