Senior Data Scientist (Tableau)

Key Skills

Aartificial intelligence, Amazon RedShift, Amazon Simple Storage Service (S3), Apache Hadoop, AWS, Data science techniques, Flask, Microsoft-Excel, MongoDB, MySQL, Natural Language Processing (NLP), PowerBI, Product Development, Python Programming, SQL, Tableau

Job Description

Full-time

• Target Hiring Range (1): 116000

• Target Hiring Range (2): 151000

• Worker Classification: Open to Remote

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

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 (Tableau) 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

Required Experiences 

• 2 years' experince as a data scientist

• 2 years’ experience designing and developing web-based dashboards and reports using Tableau and Python

Desired Experiences

• Bachelor's degree in data science, computer science, or equivalent fields

• 5+ years experince as a data scientist

• 5+ years experince with Tableau and strong understanding of data visualization principles

• 5+ years experince with Python web development using Flask framework

• Proficient with SQL working with complex data sets and AWS (redshift & S3) experince

Skills

• Experience helping an organization to plan and manage change in effort to meet strategic objectives

• Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.

• Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance

• Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB

• Programming including coding, debugging, and using relevant programming languages

• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

• Documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Excel

• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data

• Determining causes of operating errors and taking corrective action

• 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

• 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

• Adept at managing project plans, resources, and people to ensure successful project completion

• Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)

Additional Information

The future is what you make it to be. Discover compelling opportunities atcareers.fanniemae.com.