Data Scientist- Remote, US

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Framework, SQL, Agile methodologies, DevOps, Big Data Technology, Apache Hadoop, Machine learning techniques, Data science techniques, Deep Learning, Apache Hive, Apache Pig, SPARK Programming, Text segmentation

Job Description

Lumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences. Learn more about Lumen’s network, edge cloud, security and communication and collaboration solutions and our purpose to further human progress through technology at news.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.

What We Look For in a Candidate

• Able to apply techniques such as classification, clustering, regression, deep learning, association, anomaly detection, time series forecasting, Hidden Markov models and Bayesian inference to solve pragmatic business problems
• 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: 0-2 years of experience delivering Machine Learning and Advanced Analytics solutions
• Experience with statistical programming environments - Python
• Ability to translate large, vague business problems into precise, solvable data science questions
• Ability to communicate and deliver data science results to business leaders