Data Science Manager

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.

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.

No preferred qualifications provided.