Data Scientist, Revenue Intelligence

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Data Scientist, Revenue Intelligence will be a key member of the Revenue Intelligence team within the Revenue Operations function. The candidate will turn data into information, information into insight and insight into business decisions, helping us become a more data-driven company. If you enjoy approaching data analysis in a creative way and are passionate about finding unexpected connections in your data, you might be the data scientist we need!

Location: Canada Remote (not limited to the province the job is tagged to)

Key Responsibilities, (including but not limited to):

Business Analytics:

• Gain a quick understanding of complex business problems and the outcomes required of a data solution.
• Deliver prototypes and models for use in production experiments.
• Work with unstructured data to develop feature data that can be used in models.
• Partner with data experts to acquire, cleanse, and structure data for purpose.
• Develop stories that explain the complexity of models and their output that can reach a variety of audiences (executives, leaders, individual contributors) with specific recommendations on how to use the output to drive better decisions.
• Develop appropriate data models to drive business decisions.
• Design and implement appropriate data-gathering methodology for business needs.
• Create experimental frameworks for data collection and evaluation.
• Partner with other analytics teams to leverage the tools, patterns, and analytics platforms to provide access to the model data (inputs and outputs) across Genesys organizations via reports, microservices, and data products.

.

 Sales Operations Excellence:

• Work with Sr. Director, to drive Globally Consistent Cadence schedule; including but not limited to:
  • Create reports and presentations for colleagues.
  • Deliver analysis of data, including scoring and collection modeling.
  • Design and deliver analysis across data sets to support business KPIs.

 Measures for Success:

• Curation and development of data sources, reporting templates, and predictive analytics for management.
  • Identify, analyze, and interpret trends in complex data sets.
  • Coach, enable, and work with stakeholders to ensure they can derive insights and drive action from produced analytics.
• Able to operate successfully in a lean, fast-paced organisation, and to create a vision and organisation that can scale quickly.

Professional Skills:

• Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results to technical and non-technical colleagues.
• Experience sourcing data from a variety of endpoints such as APIs, microservices, structured data (including relational and non-relational sources)
• Extreme attention to detail with a focus on data quality, data consistency, scalability, and criticality of metrics
• Demonstrated knowledge of analytical/statistical techniques and their applications; working knowledge of/experience in SAS, R, and/or SPSS is a plus.
• Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts.
• Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience with several machine learning methods including regression, classification, clustering, dimensionality reduction, ensemble methods, neural nets and deep learning, transfer learning, and reinforcement learning.
• Ability to travel (less than 10%).

Minimum Requirements: 

• Bachelor’s degree Business, Economics, Computer Science, Information Management or Statistics, or 5 years of relevant work-related experience in a quantitative field.
• 5+ years of experience in advanced analytics/ predictive modeling.
• 5+ years of experience in the full lifecycle of analytics using Enterprise Tools: Tableau, QlikView, PowerBI
• 5+ years of SQL skills in ANSI SQL / T-SQL with excellent hands-on exposure to database structures & principles
• Python, Scala, Java, R experience in big data settings
• Experience with one or more machine learning frameworks such as TensorFlow, Torch, PyTorch, Spark ML
• Expertise in one or more areas of specialization such as social psychology, consumer behavior predictions, NLP, statistics, econometrics and their associated products and algorithms
• Experience with deployment of models in cloud environments such as AWS Sagemaker

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If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to [email protected]. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.