How will your role impact First Command?

The Senior Data Scientist is a pioneer at First Command in establishing data science practices. Reporting to the Head of Enterprise Data & Analytics, the Senior Data Scientist will build data science capabilities to equip our financial advisors and home office employees with timely insights that fuel an exceptional client experience and ignites an innovative workplace. This senior role requires a blend of business acumen and technical skills to build models that inform our strategic business decisions, product development and client experience innovations that lead to the financial security goals of our clients.

The Senior Data Scientist is primarily focused on creating models on a broad range of practical applications for machine learning that enhance our client experience, service delivery, product innovation and data quality improvements.

The ideal candidate is client-focused and has a collaborative working style that fosters innovation within the organization, including strong analytical and storytelling skills, and technical aptitude. The individual will be required to think holistically as they work on complex problems with multiple groups in First Command and are able to provide actionable insights and informed decisions.

What will you be doing?

• Prepare data, use statistics and machine learning to investigate problems with the goal of supporting the questions representing our greatest business needs;
• Develop and implement heuristics and statistical models to improve our business outcomes;
• Steer research activities that fuel innovation and continuous exploration using qualitative and quantitative analysis, leveraging operational data to define objectives, and testing hypotheses that influence products developed by our Agile Release Trains;
• Use and promote data-exploration techniques to discover new or previously unasked questions
• Manipulate and analyze complex, high dimensional data from a variety of sources using a multiple tools and data analysis techniques
• Use data engineering skills and knowledge in various analytical programming languages and frameworks: Data Bricks, Spark, Python
• Support the Chief Operating Officer, Head of Enterprise Data & Analytics and Agile Portfolio Architects in effort to define, roadmap, and evangelize the data science practice at First Command;
• Work with Data Governance to design data-driven solutions based on data principles and policies;

What skills/qualifications do you need?

Education

• Masters in Decision Science, Business Analytics, Statistics, Applied Math, Computer Science, or related fields

Required Qualifications

• 8+ years of applied experience in data science, analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
• 5+ years of experience building, deploying, and maintaining supervised learning models in production systems
• Expert in cloud services offerings preferably with Databricks, Azure Cognitive Services and Azure ML Studio and in supporting frameworks such as Python SDK
• Expert in machine learning technologies such as Scipy (Numpy, Pandas, Matplotlib), Scikit-learn, Seaborn
• Expert in deep learning technologies such as Tensorflow, Keras, NLTK (NLP), CPython
• Expert in data science and visualization tools such as ThoughtSpot, Tableau, or PowerBI
• Expert in using algorithms and libraries for data science
• Expert in SQL
• Expert in conceptual and logical data design
• Applied experience designing and executing a data science roadmap
• Applied experience in analyzing unstructured data sets such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
• Excellent written communication, presentation skills, and data story telling
• Proactive in identifying use cases based on business needs and forming hypotheses
• Ability to quickly adapt to changing priorities and generating innovative solutions

Preferred Qualifications

• Financial services industry experience or other highly regulated industry experience is a plus
• Certifications related to Data Analytics or Data Science is a plus
• Applied experience with Salesforce Einstein Analytics/TableauCRM is a plus
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
• Applied experience with data management practices, data governance and data lineage processes

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