Data Scientist Ii

As a Data Scientist II on the Advanced Analytics team, you will have the opportunity to:
Scale positive business results through the use of big data, ML modeling, ad hoc analysis, and proactive consulting.
Improve marketing effectiveness and operational productivity.
Support academic success for our students through the applied use of advanced analytics, and help to identify, pilot and test initiatives for prospects, students, and faculty that drive improved academic outcomes and achievements.
Help educate business partners on new capabilities and identify insights to improve business results.
Cultivate strong business partnerships through understanding of business priorities and objectives and proactive consultation.
Essential Duties & Responsibilities:

• Assemble and analyze large data sets from multiple sources. Preferably in a cloud based infrastructure.

• Able to frame-up ad hoc analysis to address business objectives.

• Able to independently build enterprise grade Machine Learning models.

• Produce predictive model documentation and monitoring protocols.

• Communicates analysis results including insights and implications with technical and non-technical audiences.

• Prepare and provide detailed and high-quality analytical reports and relevant insights to the larger organization that will assist in business decisions.

• Able to generate data visualizations, like PowerBI dashboards, to track key performance indicators (KPIs).

• Able to identify opportunities and leverage predictive models to enhance business performance and boost productivity.

Job Skills:

• Proficient in SQL and at least one of the following programming languages (Python or R).

• Experience using source control (e.g., GIT) and other team-based software engineering tools.

• Creative thinker and problem-solver who can effectively collaborate across teams and functions.

• Ability to summarize and present information that provides insights and interest.

• Strong communication skills - both verbal and written.

Work Experience:
3+ years in an analytics role with hands-on experience developing predictive models using machine learning techniques and conducting statistical analyses.
Education:
Bachelor's degree in a quantitative field like Data Science, Statistics, Applied Mathematics or Econometrics required
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If you require a reasonable accommodation to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.