Data Scientist, Deep Learning Job Description Template

We’re currently seeking a highly motivated Data Scientist to help build the next generation of data product innovation as part of a collaborative team and inclusive team. If you are a highly skilled self-starter who can quickly understand product and business requirements, work independently in a fast-paced, ambiguous environment with limited supervision, and demonstrate an ability to drive projects to completion, we want to hear from you.

Typical Duties and Responsibilities

• Design, develop and maintain new features and models (data products) 
• Use technical knowledge in machine learning, statistical modeling and other quantitative techniques 
• Iterate on data products by adapting to new data sources and/or modeling techniques and procedures
• Design automated data intake and aggregation processes, complete with data quality checks for model development
• Work with engineers and developers to implement a data pipeline in the production environment
• Provide technical guidance to team members on modeling and analysis techniques
• Work closely with Product Managers and other stakeholders to generate product insights with data
• Communicate effectively with business and engineering colleagues and senior management

Education

• Bachelor’s degree in computer science, engineering, mathematics, statistics or a related field

Required Skills and Experience

• 5+ years of hands on experience in predictive model development and analysis
• Highly proficient in R, Python, SQL, Spark, and other big data tools
• Expertise in statistical and machine learning techniques such as Logistic Regression, Tree based ML algorithms (Random Forest, XGB), Deep Learning, and Natural Language Processing
• Experience in data mining
• Experience using business intelligence tools and data frameworks
• Analytics consulting experience with reputable firms
• Ability to convey modeling and analytics concepts to non-experts