Data Science Manager

Summary

Join Blend360, an award-winning data, analytics, and talent solutions provider, as a Data Science Manager! In this role, you will translate business problems into data science solutions, develop project plans, build analytics tools, and perform data analysis. You will also train and validate predictive models, assist clients with model deployment, and manage data analyst projects. This position offers remote work flexibility from any U.S. location with 10% domestic travel. The salary range is $126,194–$145,000 per year, and a comprehensive benefits package is included.

Requirements

• Master’s degree in Statistics, Mathematics, Data Analytics, Business Analytics, Quantitative Methods, Operations Research, or a related quantitative field
• 2 years of related work experience in advanced data science, to include each of the following
• 2 years of experience with predictive modeling and statistical analysis
• 2 years of experience with one of the following advanced data science software languages: R, Python, or Scala
• 2 years of experience with SQL and relational databases, including query authoring and tuning
• 2 years of experience with one of the following cloud-based platforms: AWS, Azure, or Google

Responsibilities

• Problem-solve with practice leaders to translate business problems into workable data science solutions, proposing different approaches
• Develop project plans, including milestones, dates, owners, risks, and contingency plans
• Assemble large, complex data sets from clients and external sources that meet functional business requirements
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Perform data cleaning/hygiene and quality control, and integrate data from both client internal and external data sources on advanced data science platforms
• Summarize and describe data and data issues
• Conduct statistical data analysis, including exploratory data analysis and data mining, and document key insights and findings toward decision-making
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art data science techniques and tools
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist clients to deploy models and algorithms within their own architecture
• Manage data analyst project work

Benefits

• $126,194–$145,000 per year
• Range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs
• Remote work permitted from any U.S. location