Data Scientist

1 day ago

Toronto, Canada Lumen Full time

**About Lumen**

**The Role**:
Develops and programs methods, automated processes, and systems to cleanse, integrate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions using machine learning and advanced analytics. Interprets and communicates insights and findings from analyses and experiments to other analysts, data scientists, team members and business partners.

**The Main Responsibilities**:
Ability to execute data discovery, exploratory data analysis, and iteratively develop predictive and prescriptive models to identify optimal solutions. Assist with operationalizing the solutions and changing business processes to maximize the value of those solutions.
- Analyze data and build predictive and prescriptive models in the areas of capacity planning, anomaly detection, predictive asset failure/maintenance, workload optimization, customer segmentation and business performance.
- Mine information for previously unknown patterns and insights hidden in these assets and leverage them for competitive advantage.
- The problems solved will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen.
- Be part of a highly skilled agile team and within a strongly focused DevOps culture.
- Able to design working models and implement them on Big Data systems using Map Reduce or Spark frameworks.
- Familiar with Hadoop, Pig, Hive, Scope, Cosmos, or similar technologies.
- Able to work within an agile, iterative DevOps development process
- Experience: 3+ years of experience delivering Machine Learning and Advanced Analytics solutions
- Experience with statistical programming environments like Python, R, SPSS or IBM Watson Studio
- Fluent in one or more object oriented-languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby

**What to Expect Next**:
Requisition #: 329674

**EEO Statement**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

**Disclaimer

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