Senior Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

As a valued colleague on our team, you will use moderately complex techniques to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will use data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a senior associate, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.
THE IMPACT YOU WILL MAKE
The Senior Data Scientist role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Implement new statistical modeling capabilities.
• Apply predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance .
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences

• 2 years

Desired Experiences

• Bachelor degree or equivalent

Skills

• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Experience gathering accurate information to explain concepts and answer critical questions
• Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
• Programming including coding, debugging, and using relevant programming languages
• Communication including communicating in writing or verbally, 
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
• Skilled in cloud technologies and cloud computing
• Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
• Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
• Experience defining and managing changes to documents, code, computer programs, websites, and other files to enable collaboration and ensure teams are working from the latest version

Tools

• RStudio to develop programs in R
• R Markdown
• APIs for developing or programming software
• R
• Python object-oriented programming
• SQL
• AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
• Plotly
• SGPLOT
• SAS
• JIRA
• GitHub
• TOAD SQL database management tool
• Tableau
• Excel
• DBeaver SQL client software
• Netezza SQL
• Amazon Web Services (AWS) offerings, development, and networking platforms
• Experience using BitBucket

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