Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
Also responsible for other Duties/Projects as assigned by business management as needed.

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) Required
Masters Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) Preferred.
4-7 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
4-7 years of experience with data scripting languages (e.g., SQL, Python, R) (Required)
4-7 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
4-7 years of experience in data visualization (Required)
4-7 years of experience working with relational database using SQL (Required)
2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
2-4 years of experience in the telecom industry preferred
At least 18 years of age
Legally authorized to work in the United States

Senior Data Scientist

Key skills