United States onlyAs a member of the Data Science team you will collaborate across the business – Product, Engineering, IT, Business Leaders – to create new data driven products while continuing to refine current ones. A strong knowledge of statistics, machine learning, and programming will allow you to not only design solutions, but test and implement them.
We work mostly with Python and SQL while leveraging other tools such as Databricks, AWS, and Tableau where it is practical.
A day in the life of a Data Scientist
- Collaborating with others to design and create new products and solutions using Data Science techniques.
- Designing and performing tests with the aim of creating new products or making our current products better.
- Developing predictive models, analytic reports, and interrogating data.
- Interfacing with members of our Product, Sales, and Services teams to ensure customer success with our products.
- Managing existing products to ensure our solutions are working as intended.
Role Progression
- Within 1 month, you’ll: Learn the ropes, start to understand our data and products, and be familiar with our existing data science tools and solutions.
- Within 3 months, you’ll: Start handling critical responsibilities for our existing data science products, interfacing with our data and services team.
- Within 6 months, you’ll: Start contributing to new improvements or ideas to make our products or take our developing products to the next level.
- Within 1 year, you’ll: Be making significant contributions to our team and organization by improving existing products and innovating new ones.
About You
- Master’s degree in Statistics, Analytics, Computer Science or equivalent, or a Bachelor’s degree with at least 3 years of professional experience.
- You have a solid understanding of how to manage the life cycle of data science solutions – from ideation to production.
- Strong skills with common ML/Statistics libraries in Python – Scikit Learn, Keras/Tensorflow or PyTorch, Numpy, Scipy, Pandas, PySpark.
- Advanced ability to perform Exploratory Data Analysis
- The ability to collect and manipulate data for analysis. This includes querying SQL databases, working with raw text data, designing data pipelines.
- You have a “life long learner” mentality
- Experience in solving problems in Education or Career Planning a plus.
What Sets Us Apart
- Mission driven culture
- Comprehensive health and benefits package
- 401k company match that vests immediately upon participation
- Paid holidays and a generous PTO policy
- Paid parental leave
Encoura’s mission is to empower students and institutions to create meaningful connections so everyone can make the most informed decisions to achieve their goals. Since 1972, the company has evolved its products and services to better represent the link between students and higher education institutions and to create the highest probability of student success. With the launch of the Encoura platform in 2017, the company provides custom technology solutions that combine Eduventures research, data science, strategic enrollment, and multichannel marketing services to over 2,000 higher ed institutions. The company also offers myOptions® Encourage™—the nation’s largest free college and career planning program used by millions of high school students and educators nationwide. Encoura is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. All applicants must be eligible to work in the U.S. Encoura endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability and need an alternative method for applying, please contact the Talent Team.
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