- Perform complex data analysis using advanced SQL programming techniques to query, combine and clean data from disparate sources including Microsoft Dynamics CRM, financial systems, large customer data warehouses, and external overlay data.
- Apply data science methodologies and predictive analytic models including all forms of both supervised and unsupervised machine learning algorithms to help Operations, Finance and Marketing to better understand the underlying drivers of business performance.
- Design analytical reports and dashboards using data visualization tools including Tableau to track key metrics across the student lifecycle and assist business stakeholder in strategic analysis and identifying areas for improvement.
- Develop value-based tiering of business leads using panel data models built on historic conversion and cycle time performance.
- Develop models to better predict customer lifetime value, regularly score the customer database, and measure the impact targeted marketing efforts have on acquisition and retention.
- Measure the effectiveness marketing and operational improvement efforts have on customer acquisition and retention.
- Serve as liaison with end users with regard to data analysis via ad hoc reports, presentations and results, using R programming language and R markdown
- Master's Degree or higher from a four-year accredited college or university with a preferred major in computer science, data science, information technology, or similar, required
- In depth knowledge of all econometric and statistical techniques and machine learning algorithms including k-means clustering, KNN /CHAID classification, Factor Analysis, Regression, Price Elasticity, Recommendation Engines, attribution modeling, and SVM, to predict customer behavior with regard to lead generation, acquisition, and retention.
- Required in depth experience with traditional and cloud relational databases such as Microsoft SQL Server, NoSQL databases, and Azure, Microsoft Dynamics CRM and Salesforce Marketing Cloud, Python programming language and libraries (NumPy, SciPy, Pandas and Scikit-learn), supervised and unsupervised machine learning techniques and algorithms, data visualization tools (PyPlot, Tableau), R programming language and R markdown. Preferred experience with geospatial analysis, text analysis, digital analytics (ie: G360 / GAP), Big Data analytics (ie: Hadoop).
- Ability to hypothesize with imperfect data
- Proficient in MS Office including Outlook, Word, Excel and PowerPoint.
- Balance multiple projects, prioritize these projects and meet necessary deadlines
- Other
- Must have U.S. work visa. No H1-B visa sponsorship available or will be considered
- PTO - accumulated from day one
- 11 designated holidays
- Medical - four options (including PPO and HDP)
- Dental
- Vision
- Life & Disability (company paid)
- Flexible Spending Account & Health Savings Account (company contribution to HSA)
- Retirement plan with company match
- Maternity / Paternity / Parental Leave (company paid)
- Volunteer Time Off
- Wellness program
- Alternative medicine options
- Pet discounts
- Accident, Critical Illness and Hospital Indemnity
- Continuous Professional and Leadership Development Programs
- Tuition Reimbursement for employees and their dependents
Data Scientist - Dallas, United States - Academic Partnerships
Description
Academic Partnerships assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Founded in 2007, AP's mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult students. AP brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners.
A Day in the Life:
The essential functions of this role are as follows:
What You'll Need for Success:
You must meet the following requirements to be considered for employment:
Academic Partnerships is an equal opportunity employer and supports a diverse and inclusive workforce.
Academic Partnerships offers the following comprehensive benefits:
Supplemental Benefits:
Personal and Professional Development: