Data Scientist
$64K-$106K (Glassdoor est.)
How will your role impact First Command?

The Data Scientist I will generate client insights that impact decision making in the enterprise. As part of the Enterprise Data & Analytics Team, the Data Scientist I will have the opportunity to build data science capabilities based on the Client Experience vision, Enterprise Data and Analytics strategy and research outcomes.

The Data Scientist I will use analytics tools, frameworks, critical thinking, and problem-solving skills to partner with the First Command Marketing department to provide client data insights, trends and prediction models.

The ideal candidate is client-focused and has a collaborative working style that fosters innovation within the organization. This individual will be required to think holistically as they work with multiple groups in First Command.

What will you be doing?
Collaborate with marketing, IT, design leaders, and other business stakeholders using qualitative and quantitative research techniques to define objectives and form hypotheses;
Apply a variety of research methodologies to discover, learn and validate market opportunities to inform strategy and user experience;
Develop strategies with Director of Research and VP of Client Experience to foster a client-centric culture and create new opportunities for First Command;
Work with Data Governance and Enterprise Architecture to design data-driven solutions based on research outcomes;
Leverage statistical models and predictive analytics to forecast business results;
Develop and implement analytics solutions to visualize marketing insights using structured and unstructured data.
What skills/qualifications do you need?

Education
BA required; MBA or MS preferred.
Required Qualifications
5+ years of applied experience in analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
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
Advanced in SQL and T-SQL
Proficient in Machine Learning and modeling techniques using Python, R, and/or Scala
Proficient in conceptual and logical data design
Proficient in data science and visualization tools such as SPSS, SAS, Tableau, PowerBI
Applied experience in analyzing unstructured data sets such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
Applied experience using algorithms and libraries for data science
Preferred Qualifications
Financial services industry experience or other highly regulated industry experience a plus
Certifications related to Data Analytics a plus
Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
Applied experience using statistical methodology and programming techniques to develop analytic solutions
Applied experience building analytic solutions for unstructured data
Familiarity with data mapping and lineage strategies
Familiarity with data management practices and data governance process
Familiarity with natural language processing and deep learning techniques a plus
Disclaimer

The information of this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job, which may vary on the department or the assignment. The actual essential duties, responsibilities and qualifications may vary by department, reporting structure and other business needs. No inference should be drawn that a specific job duty, responsibility or qualification is non-essential by its absence from this description.

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Required Skills

Required Experience

Job Location
Fort Worth, US-TX
First Command Financial Services, Inc.
3.2
First Command Financial Services, Inc.
