Data Science Developer

Job Overview

Job ID: J36993

Specialized Area: Data Science

Job Title: Data Science Developer

Location: Seattle, WA

Duration: 12 Months

Domain Exposure: Healthcare, Telecom, Education, IT/Software

Work Authorization: Client: To Be Discussed Later

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

• Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
• Apply appropriate data reduction, feature selection, and feature engineering techniques
• Develop and implement hypothesis tests
• Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large scale systems
• Review, make enhancements to, and execute operationalized algorithms and models
• Develop data products to communicate insights to business stakeholders
• Collaborate with data & technology teams to create repeatable processes and scalable data products.

Requirements:

• Minimum of 5-8 years proven business experience and technical expertise in data science
• Experience cleansing and preparing large, complex datasets for analysis
• Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
• Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization
• Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
• Professional-level expertise in developing, validating, and executing algorithms and models on large scale systems
• Experience with SQL
• Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
• Familiarity with data visualization applications, like Tableau or RShiny
• Self-starter with strong analytical, critical thinking, and problem-solving skills
• Excellent communication skills -- ability to present complex information in a concise and compelling manner
• Previous management of data science project execution and data scientists
• Prior media or direct-to-consumer industry experience preferred